Skip to main content
Glama

gdbmcp

A standalone MCP (Model Context Protocol) server for Linux that attaches to a running C++ process and exposes three toolsevaluate, map_get, enumerate — to inspect the target's live memory via a resident GDB subprocess.

Zero source-level intrusion: no target code or build is modified. The AI writes the field/path it wants as a C++ expression; gdbmcp passes it verbatim to GDB, which resolves symbols from the target's DWARF debug info and returns the value.

MCP client ──stdio JSON-RPC──▶ gdbmcp (Python, single ELF) ──GDB/MI──▶ gdb ──ptrace──▶ target C++ process (-g)

What works (and what doesn't) — read this first

GDB's expression evaluator is powerful but has hard limits on a stock libstdc++/libc++ target. evaluate surfaces these as error strings; prefer the working forms.

Want

Works?

How

Read a field / follow pointers

obj->member.field

Call an out-of-line function (e.g. a singleton accessor)

World::GetInstance()->FindPlayer(1001)->hp

Index a std::vector element

✅ via raw buffer

vec._M_impl._M_start[i].field

Index a raw array / pointer

arr[i], ptr[i]

Call inlined STL methods (map::find, map::at, map::operator[], vector::at, vector::operator[])

gdb can't call inlined functions — use an out-of-line accessor on the target

Construct a custom key: EntityID(1001) (functional cast)

❌ syntax error

use C-style cast (EntityID)1001, and only if that ctor is a callable out-of-line symbol

print /r-style struct dump

✅ (text format)

default

Why: std::map::find / std::vector::operator[] are defined inline in the STL headers; GDB cannot inferior-call an inlined function. The robust pattern on a real target is to expose out-of-line accessor methods taking primitive arguments (e.g. FindPlayer(int id) instead of players.find(EntityID(id))), and to reach vector elements through _M_impl._M_start[i].

If you can't add an accessor (e.g. a third-party binary), use the dedicated container tools below — they walk the container's internal layout by direct memory reads, no inferior call:

Want

Tool

How

Look up one element by key in a map/unordered_map

map_get

walks the rb-tree / hash buckets, matches the key field-wise

List elements of any container

enumerate

walks map/set (tree), unordered_* (hash), vector (buffer)

These limitations come from GDB/libstdc++, not from gdbmcp — gdbmcp only passes the expression through.

Related MCP server: gdb and rr Debugging

Target pause model

GDB attaches via ptrace, which SIGSTOPs the target. gdbmcp keeps the target running between queries and briefly interrupts it (all-stop) per evaluate call — typically a few milliseconds for a pure data read, longer if the expression triggers an inferior function call. A wall-clock watchdog (plus GDB ≥14.1's native direct-call-timeout) aborts any call that does not return.

On gdbmcp exit (stdin closed, SIGTERM, SIGINT), it detaches (never kills) the target, which resumes normal execution.

Requirements

  • Linux only.

  • gdb ≥ 14.1 recommended (native inferior-call timeout). Minimum gdb ≥ 10 (watchdog-only). Must be the full gdb package with Python support (gdb --configuration shows --with-python) — a stripped gdb-minimal cannot load STL pretty-printers. Install e.g. apt install gdb.

  • ptrace permission to attach to the target. kernel.yama.ptrace_scope defaults to 1 on most distros (only a parent may trace its children). Pick one:

    • run gdbmcp as root, or

    • sudo setcap cap_sys_ptrace+ep ./dist/gdbmcp, or

    • set /proc/sys/kernel/yama/ptrace_scope to 0 (system-wide; security trade-off).

    • in Docker: --cap-add SYS_PTRACE.

  • The target must be compiled with debug info (-g, not stripped) for symbol resolution.

Build the single-file executable

./packaging/build.sh        # uses .venv, installs deps + pyinstaller, builds dist/gdbmcp

The result dist/gdbmcp is a self-contained ELF — no Python needed on the host. gdb itself is a separate system dependency (see above). Build on the oldest glibc you intend to support for forward portability.

Run

gdbmcp speaks MCP over stdio (default) or HTTP (streamable-http).

stdio (default — for Claude Code / Cursor / cline / claude.ai)

The MCP client launches gdbmcp as a subprocess and talks over its stdin/stdout:

./dist/gdbmcp --pid <PID> [--config config.json] [--gdb-path /usr/bin/gdb]

Example client config:

{
  "mcpServers": {
    "gdbmcp": { "command": "/path/to/gdbmcp", "args": ["--pid", "12345"] }
  }
}

HTTP (for remote / multi-client access)

./dist/gdbmcp --pid <PID> --transport http --host 0.0.0.0 --port 8000 [--auth-token SECRET]

Endpoint: POST http://<host>:<port>/mcp (MCP streamable-http). Bind defaults to 0.0.0.0:8000.

Authentication (HTTP only — important)

evaluate reads arbitrary target memory. Any HTTP exposure must be authenticated. Set a bearer token via --auth-token or the GDBMCP_TOKEN env var; requests must then carry Authorization: Bearer <token> or they get 401. Without a token on the HTTP transport, gdbmcp prints a warning and runs unauthenticated — do not do this on a reachable network.

This is a shared-secret scheme (constant-time compare). For production, put a reverse proxy (nginx/caddy) in front to terminate TLS and bind gdbmcp to 127.0.0.1, so the token is never sent in cleartext. (gdbmcp does not bundle a TLS terminator; OAuth is not implemented — see auth.py if you need either.)

config.json (optional)

See config.example.json. Notable fields: gdb_path, timeouts.{attach,call,eval}_seconds, output.{default_format,max_depth, max_children,string_truncate}, stl_flavor.

The evaluate tool

  • expression (string, required) — a C++ expression.

  • format ("text" | "json", default "text")text is gdb-style; json returns a typed tree {name, type, value|children} (scalars coerced to int/float/bool/str).

On error, returns a plain-language diagnostic string (unknown symbol, null dereference, timeout, target exited, invalid expression). Failures never crash the server, GDB, or the target.

The map_get and enumerate tools (no-accessor container access)

When the target has no out-of-line accessor, these read containers directly:

map_get(map_expr, key_expr, format="text") — look up one element by key in std::map / std::unordered_map / std::multimap / std::multiset. Walks the red-black tree / hash buckets by memory reads and matches the key (deep, field-wise, so struct keys compare by fields). Use C-style cast for struct keys: map_get("world->m_players", "(EntityID)1002").

enumerate(container_expr, limit=100, format="text") — list up to limit elements of any STL container (map/set/multimap/multiset, unordered_*, vector). Map items carry both key and value; vector/set items carry the value.

Both never call inlined STL methods, so they work on any target regardless of accessors. Layout is libstdc++-specific (stable across its ABI versions).

Quick examples (MCP JSON-RPC)

All three tools are called the same way — a tools/call JSON-RPC over whichever transport you started (stdio or HTTP). After the standard initialize / notifications/initialized handshake:

evaluate — read a single value/expression (prefers an out-of-line accessor):

{ "jsonrpc": "2.0", "id": 1, "method": "tools/call",
  "params": { "name": "evaluate",
    "arguments": { "expression": "GameWorld::GetInstance()->find_player(1001)->m_hp",
                   "format": "text" } } }
// -> { "result": { "isError": false, "content": [ { "type": "text", "text": "int = 100" } ] } }

map_get — look up one map element by key WITHOUT an accessor:

{ "jsonrpc": "2.0", "id": 2, "method": "tools/call",
  "params": { "name": "map_get",
    "arguments": { "map_expr": "GameWorld::GetInstance()->m_players",
                   "key_expr": "(EntityID)1002", "format": "text" } } }
// -> key matched -> value is the Player struct dump (Bob ...)

enumerate — list elements of any container:

{ "jsonrpc": "2.0", "id": 3, "method": "tools/call",
  "params": { "name": "enumerate",
    "arguments": { "container_expr": "GameWorld::GetInstance()->find_player(1001)->m_items",
                   "limit": 5, "format": "text" } } }
// -> size=2, lists Sword / Potion

Use format: "json" on any tool for structured output. On any failure the tool returns a plain-language diagnostic string (isError: false, the text describes the problem); the server, GDB, and target never crash.

Test

.venv/bin/python -m pytest            # unit + integration + full-stack e2e

Tests attach to a compiled fixture (tests/fixtures/target.cpp) via real gdb.

Architecture / code map

File

Role

src/gdbmcp/gdb_controller.py

Resident gdb subprocess; GDB/MI send/recv with token correlation; attach/interrupt/continue/detach; watchdog abort path; init + libstdc++ printer registration

src/gdbmcp/mi_parser.py

GDB/MI stream parser (result/async/stream records; nested tuples & lists)

src/gdbmcp/evaluator.py

evaluate orchestration: validate → stop → watchdog → resolve (var-objects + data-evaluate) → render → resume; error mapping

src/gdbmcp/container_query.py

map_get / enumerate: gdb-Python walker that traverses map/unordered_map/vector internals with no inferior calls

src/gdbmcp/formatters.py

text/JSON rendering of the value tree; scalar coercion; depth/width caps

src/gdbmcp/errors.py

Error classification + human-friendly messages

src/gdbmcp/watchdog.py

Cancellable wall-clock timer that aborts runaway inferior calls

src/gdbmcp/mcp_server.py

FastMCP server registering the evaluate / map_get / enumerate tools; stdio + HTTP transports

src/gdbmcp/auth.py

Shared-secret bearer-token verifier for the HTTP transport

src/gdbmcp/lifecycle.py

atexit + signal handlers → clean detach on exit

src/gdbmcp/config.py

Config load (JSON + CLI overrides)

src/gdbmcp/__main__.py

CLI entry: parse args, attach, serve stdio

Out of scope (v1)

  • non-stop mode (smaller pause blast radius), process-name auto-discovery,

  • a custom GDB Python pretty-printer that emits JSON (currently the JSON path parses GDB's var-object output), memory-write tooling, and bundling gdb into the executable.

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/luckinbyte/gdbmcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server