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ida-mcp-rs

Headless IDA Pro MCP Server

README

ida-mcp-rs

Headless IDA Pro MCP server for AI-powered reverse engineering.


Why ida-mcp

  • Built for Apple targets. Universal Mach-O slice selection, dSYM/DWARF loading, and dyld_shared_cache module and dylib loading are single tool calls with explicit parameters, not scripts the agent has to write. In a measured Claude Code run, selecting and analyzing the x86_64 slice of a universal binary took one call and about five seconds.
  • Fast and lean. A native Rust server driving IDA through idalib; a 28-tool --profile=lean measured 25% cheaper than the full set on real tasks with the same correctness, and the full set is there when you need it.
  • Safe to leave running. Exact-target edits, save_idb checkpoints, analysis flushed to disk as soon as it finishes, graceful shutdown on every signal a client sends, and database state discarded rather than trusted after an IDA crash.
  • Scriptable when the tools run out. run_script returns a trailing expression as JSON and keeps state between calls, so one script can find, filter, and return only what matters.

Prerequisites

  • IDA Pro 9.4 with a valid license
  • IDA Pro 9.5 beta for the beta release

Getting started

Install

macOS / Linux (via Homebrew)

brew install blacktop/tap/ida-mcp        # Latest (IDA 9.4)

macOS (Apple Silicon), older IDA releases (via versioned Homebrew casks)

brew install blacktop/tap/ida-mcp@9.3    # IDA 9.3/9.3sp1
brew install blacktop/tap/ida-mcp@9.2    # IDA 9.2

Windows (via Scoop)

scoop bucket add blacktop https://github.com/blacktop/scoop-bucket
scoop install blacktop/ida-mcp

Windows note: see Windows below for DLL discovery options.

macOS / Linux (via Nix)

nix shell github:blacktop/nur#ida-mcp \
  --extra-experimental-features 'nix-command flakes'

Direct download: grab the archive for your platform from GitHub Releases.

Build from source: see docs/BUILDING.md.

ida-mcp versions follow IDA Pro versions: v9.5.0-beta.x for the IDA 9.5 beta, v9.4.x for IDA 9.4, v9.3.x for IDA 9.3, and v9.2.x for IDA 9.2. ida-mcp checks compatibility when it initializes IDA. An incompatible version causes IDA-backed tools to fail with an error identifying the detected version and, when available, the loaded library path. Scoop and NUR publish only the latest version. For an older IDA, use the matching GitHub Release or, on Apple Silicon, a versioned Homebrew cask.

IDA 9.5 beta

A prerelease build for the IDA 9.5 beta is available for macOS on Apple Silicon:

brew install blacktop/tap/ida-mcp@beta   # IDA 9.5 beta

The beta cask conflicts with the stable ida-mcp cask, so remove one before installing the other:

brew uninstall --cask ida-mcp            # switch to the beta
brew uninstall --cask ida-mcp@beta       # switch back to stable

You can also download ida-mcp_<version>_Darwin_arm64.tar.gz from the prerelease on GitHub. There are no beta packages for Linux or Windows; build main from source as described in docs/BUILDING.md.

Platform setup

macOS

Standard IDA installs in /Applications work without extra setup:

claude mcp add ida -- ida-mcp

If you see Library not loaded: @rpath/libida.dylib, point DYLD_LIBRARY_PATH at your IDA install:

claude mcp add ida -e DYLD_LIBRARY_PATH='/path/to/IDA.app/Contents/MacOS' -- ida-mcp

Paths found automatically:

  • /Applications/IDA Professional 9.4.app/Contents/MacOS
  • /Applications/IDA Pro 9.4.app/Contents/MacOS
  • /Applications/IDA Home 9.4.app/Contents/MacOS
  • /Applications/IDA Essential 9.4.app/Contents/MacOS

The beta searches the same locations with 9.5 in place of 9.4.

Linux

The IDA installer defaults to ~/ida-pro-9.4, and the launcher script looks there:

claude mcp add ida -- ida-mcp

For any other install location, set IDADIR:

claude mcp add ida -e IDADIR='/path/to/ida' -- ida-mcp

Lookup order: $IDADIR, then ~/ida-pro-9.4, then /opt/ida-pro-9.4 and the other RUNPATH fallbacks.

Windows

Option A: put ida-mcp.exe in your IDA directory. This is the simplest route and needs no environment setup:

# Copy the binary next to ida.dll / idalib.dll
copy ida-mcp.exe "C:\Program Files\IDA Professional 9.4\"
claude mcp add ida -- "C:\Program Files\IDA Professional 9.4\ida-mcp.exe"

Option B: install with Scoop, which finds IDA and sets IDADIR:

scoop bucket add blacktop https://github.com/blacktop/scoop-bucket
scoop install blacktop/ida-mcp
claude mcp add ida -- ida-mcp

Option C: set IDADIR yourself:

$idaDir = "C:\Program Files\IDA Professional 9.4"
[Environment]::SetEnvironmentVariable("IDADIR", $idaDir, "User")
$userPath = [Environment]::GetEnvironmentVariable("Path", "User")
$pathEntries = @($userPath -split ";" | Where-Object { $_ })
if (-not ($pathEntries -contains $idaDir)) {
  [Environment]::SetEnvironmentVariable(
    "Path", (@($pathEntries + $idaDir) -join ";"), "User"
  )
}
# Then restart your terminal
claude mcp add ida -- ida-mcp

Windows has to find ida.dll and idalib.dll before ida-mcp starts. Putting ida-mcp.exe in the IDA directory is the easiest way. Otherwise, set IDADIR and add the same directory to PATH so the DLLs load at runtime.

Common IDA paths:

  • C:\Program Files\IDA Professional 9.4
  • C:\Program Files\IDA Pro 9.4
  • C:\Program Files\IDA Home 9.4

Runtime requirements

The binary links against IDA's libraries at runtime. Baked-in RPATHs cover the standard install paths. For anything else:

PlatformLibraryFallback Configuration
macOSlibida.dylibDYLD_LIBRARY_PATH
Linuxlibida.soIDADIR (launcher reads it) or LD_LIBRARY_PATH
Windowsida.dllPlace exe in IDA dir, or set IDADIR and add IDA dir to PATH

Configure your AI agent

Claude Code
claude mcp add ida -- ida-mcp
Codex CLI
codex mcp add ida -- ida-mcp
Gemini CLI
gemini mcp add ida -- ida-mcp
Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "ida": { "command": "ida-mcp" }
  }
}

Usage

Once your agent is configured, it can drive the tools directly:

# Open a binary. This returns quickly; analysis runs separately.
open_idb(path: "~/samples/malware")

# Keep the generated database out of a read-only input directory
open_idb(path: "/System/example", idb_out: "~/ida-work/example.i64")

# Pick one slice of a universal (fat) Mach-O
open_idb(path: "/bin/ls", arch: "arm64e", idb_out: "~/ida-work/ls.i64")

# These work immediately, no analysis needed
list_functions(limit: 20)
disasm_by_name(name: "main", count: 20)
strings(limit: 10)

# For xrefs/decompile on large binaries, run analysis in the background
analyze_funcs(background: true)   # returns task_id
task_status(task_id: "analyze-<random>") # poll progress (ID from the analyze_funcs response)

# Decompile (requires Hex-Rays + completed analysis)
decompile(address: "0x100000f00")

# Discover more tools
tool_catalog(query: "find callers")

Tools that change the database (rename, set_comments, patch, patch_asm, apply_types, declare_stack, delete_stack, and lumina_apply) take exactly one address or one symbol name. Names must match exactly, case included. A near miss changes nothing and returns up to eight similar names with their addresses. A returned target record identifies the database, resolved symbol (or null), and requested and effective addresses. Check the operation's result to determine whether the change succeeded.

For Hex-Rays locals and arguments, use list_lvars with one function address or exact target_name. rename_lvar and set_lvar_type take the same function selector plus an exact, unique lvar_name. They return the variable as it was before the edit and the resolved function target. The edits appear in subsequent decompilations; use save_idb to checkpoint them to disk.

list_lvars(target_name: "interesting_function")
rename_lvar(target_name: "interesting_function", lvar_name: "v1", new_name: "count")
set_lvar_type(target_name: "interesting_function", lvar_name: "count", decl: "unsigned int")
save_idb()

list_lvars is in the decompile toolset, rename_lvar in editing, and set_lvar_type in types. Add them to lean with --profile=lean --tools=list_lvars,rename_lvar,set_lvar_type.

Opening binaries

Raw blobs

Raw inputs use IDA's normal loader by default and save to <input>.i64. Pass idb_out to put the database somewhere else, for example when the input directory is read-only. An existing database is reused only when the input SHA-256 recorded in it matches the current file. rebuild: true overwrites a database only when its recorded hash or input path shows it was built from this input.

For headerless blobs, open_idb also takes typed loader hints:

open_idb(
  path: "~/firmware/boot.bin",
  idb_out: "~/ida-work/boot.i64",
  processor: "arm:ARMv7-M",
  bitness: 32,
  base_address: "0x08000000",
  entry_point: "0x08000101"
)

Processor families with several modes need an explicit IDA processor variant, so bare names such as arm or metapc are rejected. The hints apply only when creating a database from a raw input; they never change an existing .i64/.idb. On 32-bit ARM, an odd entry_point is a Thumb pointer: ida-mcp clears bit 0 for the code address and records the Thumb state before creating the entry instruction.

Universal (fat) Mach-O

When IDA loads a fat binary headlessly, it takes the x86_64 slice whenever one exists, and it doesn't recognize 64-bit fat headers at all. So open_idb picks the slice itself. Pass arch (for example arm64e or x86_64), or leave it out and answer the prompt if your client supports input requests.

If no answer comes back, the call fails and lists the slices so an unattended agent can retry with arch. That covers clients that can't prompt, a declined prompt, and pre-2026 clients that don't reply within 30 seconds. MCP 2026 clients get the question back in the response and retry with the answer, so the server never sits waiting on them.

The chosen slice is copied to <input name>.<arch> next to the output database and opened as a single-architecture Mach-O. An identical copy already at that path is reused; a different file there is never overwritten. The response's universal field names the slice, and loader shows what IDA loaded.

dyld_shared_cache

open_dsc opens one module from Apple's dyld_shared_cache. On IDA 9.4, ida-mcp reads the DSC header directly and loads images through IDA's native dscu service. Older IDA builds fall back to the legacy idat background flow when a .i64 has to be generated.

# Open a module from the DSC
open_dsc(path: "/path/to/dyld_shared_cache_arm64e", arch: "arm64e",
         module: "/usr/lib/libobjc.A.dylib")

# If a legacy background task was started, poll until done
task_status(task_id: "dsc-<random>")  # ID from the open_dsc response

# Load additional frameworks for cross-module references
open_dsc(path: "/path/to/dyld_shared_cache_arm64e", arch: "arm64e",
         module: "/usr/lib/libobjc.A.dylib",
         frameworks: ["/System/Library/Frameworks/Foundation.framework/Foundation"])

# Incrementally load another DSC dylib into an already-open database
dsc_add_dylib(module: "/usr/lib/libSystem.B.dylib")

# Incrementally load a DSC data/GOT/stub region by address
dsc_add_region(address: "0x180116000")

# After dsc_add_dylib/dsc_add_region, confirm analysis readiness
analysis_status()

Requirements:

  • IDA 9.4+ for native dscu loading
  • For older IDA builds, idat must be available via $IDADIR or standard install paths

IDAPython scripting

run_script runs Python in the open database through IDA's IDAPython engine and returns what the script wrote to stdout and stderr. A trailing expression is returned as result, so a script can compute, filter, and hand back only what matters:

  • result is strict JSON of at most 1 MiB. A larger result fails the call rather than being truncated; return a smaller value or print a summary.
  • A value that is not JSON-serializable (custom objects, NaN/Infinity, circular references) is returned as the string of its repr() with result_is_repr: true. So is any value containing an integer outside −2⁶³ … 2⁶⁴−1, which the server's JSON reader cannot hold exactly.

Imports, variables, and functions persist between calls on the same open database.

# Inline script
run_script(code: "import idautils\nfor f in idautils.Functions():\n    print(hex(f))")

# Run a .py file from disk
run_script(file: "/path/to/analysis_script.py")

# Build state in one call, return a value from the next
run_script(code: "import idautils\nfuncs = list(idautils.Functions())")
run_script(code: "{'count': len(funcs), 'first': hex(funcs[0])}")

# With timeout (default 120s, max 600s)
run_script(code: "import ida_bytes; print(ida_bytes.get_bytes(0x1000, 16).hex())",
           timeout_secs: 30)

All ida_* modules, idc, and idautils are available. See the IDAPython API reference.

Structured results

analysis_status, list_functions, resolve_function, function_at, xrefs_to, xrefs_from, strings, and list_lvars advertise an outputSchema and return structuredContent alongside the same JSON as text. rename_lvar and set_lvar_type also return structured results but omit their output schemas to keep the tool inventory smaller. Other tools return JSON text only; tools whose result is a bare array or a per-call shape have no schema yet.

Saving and crash handling

save_idb writes the open database to disk without closing it and returns the database path it wrote. Use it to checkpoint renames, comments, types, and patches; close_idb also saves. If the client exits without closing, the server attempts a graceful shutdown on stdin EOF and on SIGTERM, SIGINT, SIGQUIT, or SIGHUP, which closes and packs the open database; the log names the signal. Default stdio and HTTP allow up to 120 seconds for the active operation to settle and the database to save before retiring the child. A SIGKILL skips graceful shutdown, and a caught SDK crash deliberately discards unsaved changes, so save_idb remains the only guarantee for edits. Finished auto-analysis is flushed to the database as soon as a raw open or analyze_funcs completes, because some MCP clients (Claude Code among them) end servers with SIGKILL when the conversation ends; after such a kill the analysis is on disk and only later edits are lost.

If a call crashes inside the IDA SDK (SIGSEGV/SIGBUS), ida-mcp returns an error for that call (a top-level error even from batch tools that normally report per-item failures) and then stops using that database state: the database is closed without saving, so changes since the last save_idb are lost, and the child worker is replaced (stdio, HTTP, and --workspace). Call open_idb again to continue.

The default stdio and HTTP servers run IDA in one supervised child process (the same binary in worker mode), as pooled HTTP (--max-workers N) and --workspace do. A call that overruns its timeout_secs (or the 1800 s operation watchdog, --workspace-worker-op-timeout-secs for stdio, --worker-op-timeout-secs for HTTP) kills that child and returns a timeout: the database is then no longer open, changes since the last save_idb are lost, and the next open_idb gets a fresh worker. If its replacement is still starting, that open waits for startup, bounded to 30 seconds. This is what makes a native IDA call that never returns recoverable; nothing can interrupt it in place. On shared HTTP, cancelling a request or disconnecting stops that client's wait; an already dispatched call continues under its watchdog so other clients keep their database and unsaved edits.

Removed tools

RemovedUse instead
list_funcslist_functions (same parameters)
get_u8, get_u16, get_u32, get_u64read_int with size 1, 2, 4, or 8
int_convertno replacement; do the conversion client-side or in run_script

Update --tools / --exclude-tools lists that name the removed tools; an unknown name is rejected at startup.

Multiple databases and HTTP

Workspace mode (opt-in)

By default ida-mcp works on one implicit database, so tool calls don't carry a handle. To keep several databases open at once, start with --workspace:

ida-mcp --workspace --workspace-max-workers 4
ida-mcp --workspace serve-http --bind 127.0.0.1:8765 --stateless

In workspace mode, each open_idb/open_dsc returns a database_id, and every database-scoped call must send it. Runtime tools such as tool_catalog reject it. close_idb(database_id: ...) closes only that handle. Idle handles are reaped after 30 minutes; --workspace-idle-timeout-secs 0 turns that off.

list_databases returns every routed database_id with its database path and state (open, busy, or no_worker). An agent that lost a response, or reconnected over stateless HTTP, can use it to find an open database again instead of leaving it stranded until the idle timeout. It is read-only and only appears when the server runs with --workspace.

HTTP/SSE worker pool

serve-http shares one supervised IDA child by default. To serve several stateful HTTP/SSE clients at once, set --max-workers above 1. Each session then gets its own child ida-mcp worker process:

ida-mcp serve-http --bind 127.0.0.1:8765 --max-workers 4 --min-workers 1

Without --max-workers N, all HTTP sessions share one IDA context. A second client that opens another binary waits behind the first, then gets the usual A database is already open error. Pooled startup logs include Starting pooled HTTP router and MCP pooled HTTP server listening.

An HTTP session holds its worker from the first open until close_idb, HTTP DELETE, session timeout, or server shutdown. close_idb releases the worker right away, but the child process may stay alive for reuse until --worker-idle-timeout-secs passes. When every worker is taken, new open_idb/open_dsc calls fail with Worker pool exhausted so clients can retry later. Pooled mode needs stateful HTTP sessions, so --max-workers > 1 is rejected together with --stateless.

If an SSE client exits without sending close_idb or HTTP DELETE, pooled mode closes its session once the standalone SSE stream disconnects and the --worker-disconnect-grace-secs reconnect window runs out. POST-only clients don't always leave a stream to watch, so their abandoned sessions are reclaimed by --session-keep-alive-secs (default 1800 seconds). Lower it if you need pooled workers back sooner.

MCP 2026-07-28

MCP 2026-07-28 uses the sessionless server/discover lifecycle. ida-mcp supports it over stdio and in the default single-worker HTTP mode, including multi-round elicitation and the io.modelcontextprotocol/tasks extension for background open_dsc calls.

Pooled HTTP (--max-workers > 1) advertises protocol versions only up to 2025-11-25. Its workers are tied to sessions, and MCP 2026 has no session ID to route on, so a request could reach a different IDA worker. MCP 2026 requests to pooled HTTP fail with an unsupported protocol-version error instead.

Headless debugger (experimental)

Debugger tools are off by default. On supported platforms (Apple Silicon macOS for now), start with --enable-debugger or IDA_MCP_ENABLE_DEBUGGER=true to add debug_status, debug_launch, debug_attach, debug_modules, and debug_stop. debug_open_module also needs --workspace, because it opens the runtime image in a new database and leaves the database that owns the live debug session alone:

debug_status()
debug_launch(database_id: "…", path: "/absolute/path/to/program")
debug_modules(database_id: "…")
debug_open_module(
  database_id: "…",
  module: "/usr/lib/libobjc.A.dylib",
  idb_out: "~/ida-work/libobjc.i64"
)
debug_stop(database_id: "…", action: "auto")

debug_open_module opens standalone binaries and dlopen'd plugins directly. On macOS it also resolves system libraries such as /usr/lib/libobjc.A.dylib through the host dyld shared cache for the target's architecture, then loads the image with IDA 9.4's in-process DSC service. It doesn't extract a temporary dylib or run idat.

debug_open_module always requires idb_out. Runtime modules often live in read-only system directories, and ida-mcp won't silently write an IDB next to them. The response includes a checked runtime slide; the new database stays at its on-disk preferred addresses.

In workspace mode, a launched or attached debug session pins its database so the idle timeout skips it, until debug_stop succeeds or close_idb releases the database.

Known limitations:

  • A target that exits on its own keeps its pin. IDA caches the process state and refreshes it only when a call drains the pending debug event, so ida-mcp can't see a debuggee die in the background. The database stays pinned, and exempt from the idle timeout, until debug_stop, close_idb, or worker loss clears it. Both debug_stop and close_idb handle an already-exited target correctly.
  • Losing the worker doesn't stop the debuggee. If the worker hosting a live session is killed, crashes, or is retired by ida-mcp after a wedged debugger call, it may never run its own teardown. IDA's debug-server helper can then be reparented instead of terminated, and the target may keep running. When an in-flight call detects or causes the retirement, ida-mcp returns a Debugger session lost error that says the target may still be alive, and clears the handle's debug pin. It never claims the debuggee ended. A leased worker can also die with no request in flight to carry an error; list_databases may briefly show no_worker before the reaper removes that handle, even with idle eviction disabled. Cleaning up a stray helper or debuggee is manual for now.

ida-mcp picks IDA's signed loopback helper from the opened database's target architecture: mac_server_arm for ARM64 and mac_server for x86/x86_64. macOS may require IDA's "Take Control" authorization once per login; until it's granted, tools report user_action_required. ida-mcp does not ask for root, disable SIP, edit authorizationdb, or re-sign binaries.

Linux and Windows don't advertise the debugger tools at all. IDA's ARM Linux debugger only works remotely, and ida-mcp doesn't expose remote configuration. The SDK has no Windows-on-ARM user-mode debugger. The native ARM64 test harnesses on both platforms check that the tools stay unavailable. x86 Linux and Windows stay off until a local debugger run passes on them.

Lumina

ida-mcp turns off IDA's automatic Lumina lookup by default, so starting the server or opening a database doesn't contact lumina.hex-rays.com. The setting lives only in ida-mcp's private IDA user profile; your normal IDA GUI profile is untouched. IDA on Windows keeps its settings in the registry rather than under IDAUSR, so there ida-mcp also uses a process-local registry mapping. If ida-mcp can't set up the private profile, it refuses to start.

To let IDA use its configured Lumina servers, opt in for that process:

ida-mcp --allow-lumina

The environment variable equivalent is IDA_MCP_ALLOW_LUMINA=true.

Two tools use it. Both are listed by default, but until you opt in they fail with an error telling you to restart with --allow-lumina:

  • lumina_lookup queries one function and reports the available metadata without changing the database.
  • lumina_apply pulls and applies metadata using IDA's upgrade policy. force: true may replace existing names, types, or comments.

--read-only removes lumina_apply but keeps lumina_lookup, since a lookup doesn't modify the database.

Context optimization

By default tools/list returns 74 tools. The full tool list is roughly 14k tokens, estimated at four characters per token. Seven more are opt-in: the six debugger tools and list_databases appear only with --enable-debugger or --workspace. Clients with dynamic tool discovery defer the schema cost; clients that preload schemas pay it every session. To trim the surface to what you need:

FlagEnv varEffect
--profile=leanIDA_MCP_PROFILEStarts from the 28-tool lean set (below) instead of all tools
--toolsets=cat1,cat2IDA_MCP_TOOLSETSReplaces "all tools" with the union of selected categories
--tools=t1,t2IDA_MCP_TOOLSAdds individual tools (additive to --toolsets)
--exclude-tools=t1,t2IDA_MCP_EXCLUDE_TOOLSSubtracts from the include set; always wins
--read-onlyIDA_MCP_READ_ONLYStrips mutating/arbitrary-code tools (run_script, save_idb, patch*, rename, set_comments, lumina_apply, type/stack edits, dsc_add_*, analyze_funcs, and debugger process control); keeps lifecycle/discovery

With no flags you get all 74 baseline tools (57.2 KB of schemas). Categories: core, functions, disassembly, decompile, xrefs, control_flow, memory, search, metadata, types, editing, scripting; debug exists only when the debugger is enabled on a supported platform (run tool_catalog to list them). Flags override env vars, and unknown names are rejected at startup.

The lean profile

--profile=lean advertises 28 tools, about 26 KB of schemas, chosen for Apple reverse engineering: opening binaries, caches and debug info (open_idb, open_dsc, dsc_add_dylib, dsc_add_region, load_debug_info, analysis_status, analyze_funcs, save_idb, close_idb, task_status), reading code and references (list_functions, resolve_function, function_at, disasm, decompile, xrefs_to, xrefs_from, callers, callees, strings, find_bytes, search, segments, imports, exports), annotating (rename, set_comments), and run_script for everything else. tool_catalog/tool_help are left out because the schemas are already advertised; the server instructions adapt to whatever is enabled. The profile composes with the other flags: --tools adds to it, --exclude-tools and --read-only subtract (--profile=lean --read-only is 21 tools, 21.9 KB). The default stays the full set for compatibility; the profile is the measured recommendation for Claude Code (below).

ida-mcp --profile=lean

Measured with bench/ (Claude Code 2.1.288, Sonnet 5.5, medium effort, three trials per cell, 2026-10-03) on an annotate / string-xrefs / universal Mach-O task mix: both profiles completed all nine conversations correctly. Lean cost 25% less than full ($0.275 vs $0.367), used 42 vs 52 tool calls, and recorded 0 vs 1 MCP tool errors; cache-read input fell from 849,325 to 442,166 tokens. The saving is almost all cache-read tokens from the smaller inventory, so it applies to clients that send the tool list with every request. No other client was measured.

Recommendations by client

  • Claude Code: use --profile=lean for Apple RE work; it was 25% cheaper than the full set on the measured tasks with the same correctness. Add --tools for anything specific you need beyond it.
  • Cursor: defers MCP tool schemas and loads them on demand, so filtering is mainly about limiting what the agent can do; not measured.
  • Codex CLI: current models with tool search defer MCP tools automatically. For models without tool search, or to limit what the agent can do, pick a focused subset:
    ida-mcp --toolsets=core,functions,disassembly,decompile,xrefs
    
  • Clients without lazy tool loading: every session receives the full tool list, estimated at ~14k tokens. Pick a focused subset as shown above.
  • Gemini CLI: filtering is optional, but a smaller surface cuts down on wrong tool picks when several MCP servers are enabled:
    ida-mcp --toolsets=core,functions,disassembly,decompile --read-only
    
  • Small / local models: use the smallest surface that works. For triage:
    ida-mcp --toolsets=core,functions --tools=decompile,callees,callers --read-only
    

Configuring through mcpServers.json

Most MCP configs run ida-mcp with no subcommand. The env vars work there too:

{
  "mcpServers": {
    "ida-mcp": {
      "command": "ida-mcp",
      "env": {
        "IDA_MCP_TOOLSETS": "core,functions,disassembly,decompile,xrefs",
        "IDA_MCP_READ_ONLY": "true"
      }
    }
  }
}

Measuring

just measure-tools prints a per-tool char/token breakdown. It starts the server without filter flags, so the numbers cover the full default list. To see what a filter saves, check your client's context view (/context in Claude Code, or its equivalent elsewhere).

Docs

License

MIT Copyright (c) 2026 blacktop

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AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

AI 与智能体

czlonkowski/n8n-mcp23k

n8n-mcp

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

AI 与智能体

xpzouying/xiaohongshu-mcp16k

xiaohongshu-mcp

MCP for xiaohongshu.com

AI 与智能体