cursor-mcp-bridge
This server bridges an MCP host to a headless Cursor CLI agent, enabling cheap and fast delegation of coding tasks and exploration while keeping large file contents out of your own context.
delegate: Run arbitrary tasks (implementation, edits, shell commands) with full tool access (read, edit, shell) via a cheap Cursor agent in a specified working directory.explore: Read-only codebase exploration — omitfilesto get a general project map (layout, modules, entry points, conventions), or pass specific files to ask focused questions without loading code into context.read_slice: Surgically read only the lines relevant to a query from specified files, keeping context small.run_filtered: Execute a shell command and return only the lines matching a semantic filter.web_lookup: Perform web or docs searches using the Cursor agent's web access.follow_up: Continue a prior session bysession_id, preserving context on Cursor's side without resending it.bridge_stats: Report usage statistics (call count, characters returned) per tool when logging is enabled.
All tools accept optional cwd, model (default: auto for cheapest), and effort parameters, and return a session_id for continuation.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cursor-mcp-bridgeexplore the project structure in ./src"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
cursor-mcp-bridge
MCP server that lets any agent or MCP host delegate to headless Codex, Grok, and Claude Code CLIs, with Cursor available as an opt-in fallback. Use the fleet for implementation, planning, and project exploration without burning the caller's context on raw worker output.
Worker tools take optional model and effort overrides, return a session_id, and support
follow_up. Difficulty levels select a distinct default model across the three active
subscriptions.
Tools
The server exposes ten tools:
Tool | Purpose |
| Run a task with full read/edit/shell access in |
| Read-only exploration on Codex with |
| Surgical read-only read: returns ONLY the code relevant to |
| Run a shell |
| Web/docs lookup through Codex/Luna with real web search enabled and a read-only filesystem. |
| Generate or edit an image through Codex's built-in image tool and save it inside |
| Phase 1: read the codebase and return an implementation plan without editing. Defaults to level 3 (Codex Sol xhigh, hard read-only); level 5 Opus max is read-only by prompt only. |
| Phase 2: implement an approved plan with full access. Defaults to level 1 (Codex Luna max) and optionally accepts an |
| Continue a prior session by |
| Report calls and chars returned to context per tool (needs |
Worker tools accept cwd, model, and effort where applicable. delegate requires a level
(1-5); plan and build default to levels 3 and 1 respectively. Explicit model/effort
values override the selected tier.
Related MCP server: subagents
Requirements
Node ≥ 18
Codex installed and authenticated for read tools and levels 1/3; Grok for levels 2/4; Claude Code for level 5.
Optional Cursor fallback: install
cursor-agentand setCURSOR_BRIDGE_ENABLE_CURSOR=1.
Install
Installing via an AI agent? Point it at
INSTALL.md— an agent-facing, copy-paste guide that detects the host and registers the bridge in Claude Code, Cursor, Codex, Grok, or any generic MCP host.
git clone https://github.com/JaimeJunr/cursor-mcp-bridge.git
cd cursor-mcp-bridge
npm install
npm run buildRegister in an MCP host
Claude Code:
claude mcp add cursor-bridge -s user -- node /abs/path/to/cursor-mcp-bridge/dist/index.jsAny host — add to its mcp.json:
{
"mcpServers": {
"cursor-bridge": {
"command": "node",
"args": ["/abs/path/to/cursor-mcp-bridge/dist/index.js"]
}
}
}Permissions (Claude Code): claude mcp add registers the server but does not grant
tool permission — without an allowlist every bridge call prompts for approval. After
registering, add either "mcp__cursor-bridge__*" (full; also auto-approves mutating tools
delegate/build/run_filtered/follow_up) or a read-only subset
(explore/read_slice/web_lookup/plan/bridge_stats) under
permissions.allow in settings.json. Full options and trade-offs:
INSTALL.md §3. Cursor/Codex/other hosts
have their own approval settings — consult the host.
Configuration (env)
Var | Default | Meaning |
|
| Path to the optional Cursor CLI fallback. |
|
| Path to the Grok CLI. |
|
| Path to the Codex CLI. |
|
| Path to the Claude Code CLI. |
| (off) | Set to |
|
| Default model for the optional Cursor path. |
|
| Codex model for |
| (off) | Additional |
|
| Isolates every engine in a bubblewrap sandbox with an empty |
| (off) | If |
|
| Per-call safety-net timeout (not a work budget). Execution tools ( |
| (off) | Path to a JSONL file; when set, every call logs |
|
| Hook behavior: |
|
| Line threshold above which the optional hook (below) redirects/nudges whole-file Read toward |
Security:
delegate,build, andrun_filteredhave full access and auto-approve their work.explore,read_slice, andweb_lookupuse Codex's read-only sandbox.planis hard read-only on Codex; level 5 Opus max enforces read-only through its prompt. Named agents are resolved on the host, reject path traversal, and are injected without mounting agent directories.
Make the agent actually use it
Registering the tools is not enough. Two structural forces push the agent back to
native tools: (1) the host rule "prefer the dedicated file/search tools", and (2) MCP
tools used to be deferred — the agent had to run a tool-search to load their schemas,
so always-loaded Read/Grep/WebSearch won by default. The server now publishes
startup instructions (routing boundary) and marks the five core tools with
_meta: { "anthropic/alwaysLoad": true } (Claude Code ≥2.1.121) so their schemas load
eagerly; secondary tools stay deferred. Four fixes, strongest first:
1. Call-time hook (recommended). A PreToolUse hook that steers the agent toward
the bridge at the moment it reaches for a native tool — text in a config file loses under
pressure, a call-time reminder does not. This repo ships one at
hooks/prefer-cursor-bridge.mjs: it runs on node
(already required) and only fires where it pays. Default mode is redirect
(CURSOR_BRIDGE_HOOK_MODE=redirect): for the two safe-to-block cases it returns
permissionDecision: "deny" once and names the bridge tool; other cases stay non-blocking
nudges. Wire it into your host's settings (Claude Code settings.json):
{
"hooks": {
"PreToolUse": [
{
"matcher": "Read|Grep|Glob|WebSearch|WebFetch|Bash|Edit|Write|MultiEdit",
"hooks": [
{ "type": "command", "command": "node /abs/path/to/cursor-mcp-bridge/hooks/prefer-cursor-bridge.mjs", "timeout": 5 }
]
}
]
}
}What it emits, and when — each fires at most once per session (deduplicated in a tmp
file keyed by session_id), because a repeated fire is worse than none: the agent learns
to ignore it and every fire costs tokens. Dedup keys are saved before emitting so
redirect is one-shot and fail-open (a second identical call is allowed through).
Readwhole-file (no offset/limit) overCURSOR_BRIDGE_HOOK_MIN_LINESlines → redirect (default) or nudge towardread_slice(once per file). Partial reads are left alone.
WebSearch/WebFetch→ redirect (default) or nudge towardweb_lookup(once).
Grep/Glob→ emits the one-time preload reminder to run theToolSearchfor any still-deferred bridge tools (nudge only — never redirected). The dedup collapses them to a single fire.
Bashwhose command writes an artifact (git commit/push,git worktree add,gh pr create,gh issue create,bkt pr create) → suggests offloading that grunt-work todelegate(once, nudge only). Read-only Bash (status/diff/log/checkout) is left alone — the orchestrator needs that state, and a mechanical filter (e.g. rtk) already trims the noise.
Edit/Write/MultiEdit→ once per session, reminds that a self-contained task (feature, bugfix, mechanical multi-file change, build fix) can go whole todelegate(prompt, level)— the selected worker edits with full access — instead of the orchestrator implementing it on expensive tokens. It never blocks the edit (nudge only); the once-per-session dedup means the orchestrator still edits inline freely (the nudge repositions execution, it doesn't police every edit).The first qualifying fire of the session (whichever tool triggers it) also carries that preload reminder, so secondary schemas get loaded even in a Read-only or web-only session.
Redirect deny reasons end with a fail-open suffix: if the bridge tool isn't loaded yet, run ToolSearch first; if the native tool is genuinely needed, call it again and it will be allowed (critical under headless
-pso the agent never hard-stalls).
Set CURSOR_BRIDGE_HOOK_MODE=nudge for the old non-blocking behavior, or off to disable.
To reset the dedup and see the fires again, start a new session (or delete
cursor-bridge-nudged-<session_id>.json from your OS temp dir — os.tmpdir(),
e.g. /tmp on Linux, not necessarily $TMPDIR).
Preloading at session start (SessionStart)
The PreToolUse preload above only fires when the agent uses the Grep/Read tool. But
under pressure agents often reach for Bash grep instead, which matches no PreToolUse
matcher — so the preload reminder never arrives. Wire the same hook for SessionStart to
close that hole: the preload reminder then lands in context before the first tool decision,
regardless of how the agent searches.
{
"hooks": {
"SessionStart": [
{ "hooks": [{ "type": "command", "command": "node /abs/path/to/cursor-mcp-bridge/hooks/prefer-cursor-bridge.mjs", "timeout": 5 }] }
]
}
}On SessionStart the hook emits the ToolSearch preload as additionalContext and pre-marks
preload as seen in the session's dedup file, so the PreToolUse piggyback never repeats it.
Reaching subagents too (SubagentStart)
The nudges above only steer the main loop. Spawned subagents never see them,
so wire the same hook for SubagentStart as well:
{
"hooks": {
"SubagentStart": [
{
"hooks": [
{ "type": "command", "command": "node /abs/path/to/cursor-mcp-bridge/hooks/prefer-cursor-bridge.mjs" }
]
}
]
}
}On SubagentStart the hook injects a compact cursor-bridge preference into every
spawned subagent via additionalContext (subagentStartContext(agent_type)).
When agent_type is Explore it appends an extra line: that Explore run was spawned on the
orchestrator's expensive model (Explore inherits the session model, capped at Opus), so it should
route all reading through explore/read_slice (which run on Codex Luna) and
keep the expensive shell to orchestration only.
Coexisting with context-mode. The bridge and context-mode use separate channels (context-mode may still do its own thing; this hook only emits
additionalContext), so they coexist cleanly — noupdatedInputrace, no delay, no import of context-mode's routing.
2. Preload any still-deferred tools. The five core tools are already alwaysLoad on
Claude Code ≥2.1.121. For secondary tools (or older hosts), tell the agent to load schemas
once per session. Add to your CLAUDE.md/AGENTS.md:
At the start of any session involving code reading/exploration, run tool-search once for
`read_slice, explore, run_filtered, web_lookup` (and any secondary bridge tools you need) so
their schemas are loaded if the host still defers them.3. Reconcile the conflict in CLAUDE.md. State the precedence explicitly:
The host rule "prefer dedicated file/search tools" applies to the EDIT path (Edit needs the
file content → native Read). For PURE reading/locating/web (no edit), cursor-bridge takes
precedence over native Read/Grep/Glob/WebSearch/WebFetch. Read a large file whole with native
Read ONLY when you are about to edit it.4. Delegate execution, not just exploration. The bridge is not only for reading — delegate
runs implementation work with full read/edit/shell access, so the orchestrator shouldn't burn its
own tokens on self-contained tasks. State this in CLAUDE.md so the agent routes doing, not just
finding, to the cheap worker:
You are the ORCHESTRATOR. delegate(prompt, level) is the DEFAULT for BOTH execution AND judgment.
`level` picks a distinct tier: 1=GPT-5.6 Luna max (codex), 2=Grok 4.5 high (grok), 3=GPT-5.6 Sol
xhigh (codex), 4=Grok 4.6 high (grok), 5=Opus max (claude). The worker has full read/edit/shell access
in cwd when you delegate. The constant win is context economy: the worker's raw output never enters
your context. Delegate it, then review the result; edit inline only for a quick one-off you're
already positioned for. Use plan(task) then build(plan) when you want a strong read-only planning
phase followed by a cheaper executor. Pass agent:"name" or agent:{prompt:"..."} when the worker
needs a specialized persona.Develop
npm test # vitest — unit tests for model resolution / arg building
npm run dev # run from source via tsxLicense
MIT
Available Tools
3 toolsdelegateA
Delegate a task to the Cursor CLI agent running headless (agent -p). Cheap/fast worker with full tool access (read, edit, shell) in cwd. Use for routine implementation, edits, and tasks where a cheaper model is enough.
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes | The complete task prompt for the Cursor agent. | |
| cwd | No | Absolute path to the project root. Defaults to the server's cwd. | |
| model | No | Cursor model id (e.g. 'auto', 'composer-2.5', 'gpt-5.2'). Default 'auto' (cheapest). | |
| effort | No | Reasoning effort for parameterized models (e.g. 'low'|'high'). Ignored by 'auto'. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must fully disclose behavioral traits. It states the agent has full tool access (read, edit, shell) and is cheap/fast, which gives important context. However, it does not disclose potential risks, error behavior, or whether operations are destructive, leaving gaps in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: two sentences with no wasted words. It opens with the core purpose and then adds usage context efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 4 parameters, no output schema, and no nested objects, the description adequately covers its purpose, capabilities, and when to use it. It lacks details about return values or error handling, but the context is sufficient for an agent to understand the tool's role.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All four parameters have descriptions in the input schema (100% coverage). The tool description adds no additional semantics beyond what the schema already provides, e.g., it mentions 'cwd' but schema already explains it. Baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool delegates tasks to a Cursor CLI agent, specifying it runs headless and is cheap/fast with full tool access. However, it does not explicitly differentiate from sibling tools (explore, follow_up), only implying use cases for routine implementation and edits.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear usage guidance: it is intended for routine implementation, edits, and tasks where a cheaper model suffices. It does not explicitly state when not to use or list alternatives, but the context is clear enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
exploreA
Read-only codebase exploration, the cheap counterpart to Claude's Explore. Two modes: omit files to get a general project map (layout, modules, entry points, build/test, conventions); pass files to answer a question about those specific files. Either way the code never enters your context — only the answer does.
| Name | Required | Description | Default |
|---|---|---|---|
| question | No | What you want to know. With `files`: a question about them. Without: an optional angle (e.g. 'how auth works'). Omit entirely for a general map. | |
| files | No | Optional file paths to scope the exploration to (relative to cwd or absolute). | |
| cwd | No | Absolute path to the project root. Defaults to the server's cwd. | |
| model | No | Cursor model id (e.g. 'auto', 'composer-2.5', 'gpt-5.2'). Default 'auto' (cheapest). | |
| effort | No | Reasoning effort for parameterized models (e.g. 'low'|'high'). Ignored by 'auto'. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses that code never enters the agent's context (only the answer does), a key behavioral trait. It also hints at cost efficiency ('cheap counterpart'). No destructive or safety concerns are relevant.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences, each earning its place. It is front-loaded with the core purpose, uses simple language, and avoids redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, but the description implies an answer is returned. For a read-only exploration tool, the description covers modes, parameters, and a key behavioral constraint (context isolation). Minor gap: could specify if errors are returned for missing files, but not critical.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description adds value by explaining the behavioral difference of omitting vs. providing the 'files' parameter and clarifies the 'question' parameter's optional behavior, going beyond the schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Read-only codebase exploration' and explains two distinct modes (with/without files), effectively distinguishing its purpose from sibling tools like 'delegate' and 'follow_up'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear guidance on when to use each mode (omit files for a general map, pass files for specific questions). It does not explicitly mention when not to use it or name alternatives, but the context is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
follow_upB
Continue a previous Cursor session by session_id (returned by every other tool). The prior context lives on Cursor's side, so you don't resend it.
| Name | Required | Description | Default |
|---|---|---|---|
| session_id | Yes | The session id returned by a previous cursor-mcp-bridge call. | |
| question | Yes | The follow-up question. | |
| cwd | No | Absolute path to the project root. Defaults to the server's cwd. | |
| model | No | Cursor model id (e.g. 'auto', 'composer-2.5', 'gpt-5.2'). Default 'auto' (cheapest). | |
| effort | No | Reasoning effort for parameterized models (e.g. 'low'|'high'). Ignored by 'auto'. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It only states that context is on the server side, omitting side effects, auth, rate limits, or failure behavior for invalid session_id.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences no fluff. The first sentence front-loads the core purpose; the second adds useful context about server-side state. Could be slightly more structured but efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema; description does not explain return format, errors, or pagination. For a tool with 5 parameters and no output schema, this is a significant gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description adds no new parameter meaning beyond what the schema provides (e.g., session_id purpose is clear from schema).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Continue a previous Cursor session by session_id', providing a specific verb and resource. It implies a follow-up action distinct from siblings 'delegate' and 'explore', but does not explicitly differentiate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when a session_id exists and notes that context is retained server-side. However, it gives no explicit when-to-use or when-not-to-use guidance versus alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
v0.2.0- First observed
delegate - First observed
explore - First observed
follow_up
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: delegate is for task execution, explore for read-only exploration, and follow_up for continuing sessions. No overlap or ambiguity.
All tool names use verb-style in lowercase, with follow_up using an underscore for the two-word name. The pattern is consistent and predictable.
With 3 tools covering core operations (task delegation, codebase exploration, session continuation), the count is well-scoped for a bridge server and neither too sparse nor excessive.
The tool set covers the primary interactions with the Cursor CLI agent. A minor gap is the lack of session listing or cancellation, but the essential workflows are complete.
Maintenance
Related MCP Connectors
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
Real-time chat for AI agents. Claude Code, Cursor, Cline and Codex join channels over MCP.
Personal assistant MCP server with search, execute, packages, jobs, secrets, and integrations.
Real-time chat hub for AI agents — Claude Code, Cursor, Cline, Codex over MCP or REST.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP server wrapping the Cursor CLI agent, enabling Claude Code and other MCP clients to delegate tasks to Cursor's AI agent for file writing, bash commands, and codebase queries.-
- AlicenseNot gradedqualityFmaintenanceAn MCP server that enables Cursor to delegate complex, multi-step tasks to specialized subagents, including general-purpose and explore agents, with automatic discovery of existing Claude subagents.171MIT
- AlicenseBqualityBmaintenanceA fast, hardened MCP server that lets any MCP host drive the Cursor Agent CLI for heavy repo-aware tasks like search, analysis, planning, and edits, keeping host context small and token costs low.101MIT
- AlicenseNot gradedqualityAmaintenanceLocal MCP server for asynchronous coding-agent delegation, enabling Claude Code or Codex to delegate tasks to Cursor, Pi, Codex, or Claude Code and collect results later.1MIT