Toolcairn Mcp

io.github.neurynaePublished by GitHub account neurynaev1.0.0Updated Oct 24, 2026

MCP server for tool discovery: find, compare, and verify tools across 35+ registries.

Overview

AI-generated overview

A local MCP server that lets an AI coding agent search, compare and verify open-source tools across 35+ package registries, with stack and version-compatibility

What you can do
Search and refine tool discovery: natural-language search with health signals, clarifying-question follow-ups, requirement decomposition, and verification that suggested tools are indexed. Build and compare: compose a multi-layer tool stack with a cross-version compatibility matrix, compare two tools head-to-head, and check peer-range compatibility. Project configuration: scan repository manifests, classify declared tools, and read or update a local project snapshot with an audit log. Feedback and session: report outcomes, submit graph-update suggestions, look up GitHub issues, classify prompts, and manage local sign-in.
When to use it
Useful when an agent must pick libraries or frameworks and needs current, ranked candidates rather than stale training data, or when checking whether versions across a stack work together. Also handy for auditing the dependencies already declared in a repository.
Requirements
Runs locally over stdio via npx, requiring Node.js 22+. A free ToolCairn account is needed; sign-in happens through a browser device-code flow on first start, and credentials are stored locally with a 90-day expiry. Network access to the ToolCairn API is required for search, compare and stack tools.
Before you install
Sign-in credentials are stored on disk and expire after 90 days. Usage events (tool name, duration, status) are sent to ToolCairn by default and can be disabled with TOOLCAIRN_TRACKING_ENABLED=false. The init and update tools write a .toolcairn directory into project roots, and config mutations are audited. Search queries and stack requests go to a third-party cloud API.

Installation

In SourceWeft

  1. Open Toolcairn Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[ToolCairn — Tool intelligence for AI coding agents]

[npm version] [npm downloads] [License: MIT] [Node.js]

[Official MCP Registry] [Smithery] [Glama] [MCP.Directory]

@neurynae/toolcairn-mcp

Source for @neurynae/toolcairn-mcp on npm. Install via the package, not from this repo.

ToolCairn is an MCP server that connects your AI coding agent to a continuously-updated graph of 30,000+ open-source tools across npm, PyPI, Cargo, Maven, Go, Composer, RubyGems, NuGet, Homebrew, and 35+ more registries. Search, compare, build stacks, and check version compatibility — all from inside Claude Code, Cursor, or any MCP-compatible client.

Concrete example. Your agent receives "I need a fast HTTP client for Node" → it calls search_tools → ToolCairn returns ranked candidates with maintenance and community signals, alternatives, and a warning if the top pick has questionable activity. No more guessing from blog posts and stale tutorials.

[How it connects: Your AI Agent ↔ toolcairn-mcp ↔ ToolCairn Cloud]

The MCP server runs locally as a stdio child of your agent. Tool calls travel over MCP to this package, which proxies the network-bound ones to the ToolCairn Cloud API and handles the local-only ones (project scan, config, audit log) on disk.


Why ToolCairn?

Plain web search and LLM training data are insufficient for tool selection — knowledge cutoffs miss latest releases, search engines surface tutorials over authoritative ranking, and version-compatibility answers live in scattered issue threads.

ToolCairn fixes this with three things you can't get from raw registry APIs:

  • Graph-aware ranking — recommendations consider how tools relate to each other (dependencies, integrations, replacements, conflicts), not just popularity.
  • Version-aware compatibility — declared peer ranges and cross-registry version metadata give you "Next.js 14 needs React 18.x" instead of "they're both popular, probably fine?"
  • A continuous learning loop — every accepted, rejected, or replaced recommendation feeds back into the graph, so quality improves with use.

Quick Start

Step 1. Create a free account at toolcairn.neurynae.com/signup.

Step 2. Add to your MCP config and restart your agent:

json
{  "mcpServers": {    "toolcairn": {      "command": "npx",      "args": ["@neurynae/toolcairn-mcp"]    }  }}

Step 3. A browser window opens for sign-in on first start. Once you confirm, all tools are available immediately — no further setup.

Requires Node.js 22+.


Setup — Claude Code

The fastest path:

bash
claude mcp add toolcairn -- npx @neurynae/toolcairn-mcp

Or paste the JSON block above into ~/.claude/claude_desktop_config.json under mcpServers.

Other MCP-compatible clients (Cursor, Claude Desktop, VS Code Copilot, Windsurf, Zed, …) work with the same npx @neurynae/toolcairn-mcp command — see the docs for client-specific config locations.


What you can do

Find a tool

Your agent receives "I need a real-time analytics database for event tracking" → calls search_tools → gets ranked candidates (ClickHouse, TimescaleDB, InfluxDB, …) with maintenance signals. If the intent is ambiguous, the response carries clarification questions; the agent answers via search_tools_respond and gets refined results.

Build a stack

Your agent receives "Help me architect a full-stack TypeScript SaaS" → calls refine_requirement to decompose, then get_stack with the per-layer needs → gets a 3–5 tool stack (web framework + database + auth + payments) with a version-compatibility matrix showing which versions work together across the stack.

Compare options

"Express vs Fastify for a REST API?" → compare_tools returns side-by-side health (stars, maintenance score, last commit, open issues, contributor trends), graph relationships (what each integrates with, what they replace), and a recommendation grounded in your stated use case.

Check version compatibility

"I want to upgrade Next.js to 14 but keep React 17." → check_compatibility evaluates declared peer ranges and returns satisfied/unsatisfied checks with the source (declared_dependency / graph_edges / shared_neighbors).

Track project tools

On first session, toolcairn_init walks your repo, parses every manifest (package.json, requirements.txt, pyproject.toml, Cargo.toml, go.mod, pom.xml, Gemfile, composer.json, …), classifies each tool against the ToolCairn graph, and writes a local .toolcairn/ snapshot. Subsequent sessions read this snapshot first — your agent stops re-searching for things it already knows about.


Available Tools

The MCP server exposes 16 tools, grouped by purpose. Most are local (no network) or fire-and-forget; the search, compare, and stack tools call the ToolCairn API.

Discovery

ToolWhat it does
search_toolsNatural-language search with health signals and alternatives. May ask clarifying questions when intent is ambiguous.
search_tools_respondSubmit answers to refine an in-progress search.
refine_requirementDecompose a vague use-case ("build a SaaS") into specific, searchable sub-needs.
verify_suggestionCheck whether the agent's tool picks are actually indexed in the ToolCairn graph.

Stacks & Compatibility

ToolWhat it does
get_stackCompose a complementary tool stack with a cross-version compatibility matrix.
compare_toolsHead-to-head: health metrics, graph relationships, and a recommendation.
check_compatibilityVersion-aware peer-range check between two tools.

Project Configuration

ToolWhat it does
toolcairn_initDiscover project roots, scan manifests, classify tools, write .toolcairn/.
read_project_configLoad the local .toolcairn/config.json snapshot (confirmed tools, pending items, audit log).
update_project_configAtomically add, remove, or update a tool — every mutation is audited.

Feedback Loop

ToolWhat it does
report_outcomeFire-and-forget: did the recommended tool work out? Closes the learning loop.
feedbackAgent feedback on ToolCairn itself. Call ONLY when a ToolCairn response was wrong, broken, low-quality, or missed something — never for positive feedback. Free of daily quota.
suggest_graph_updateSubmit a new tool, edge, or use-case for admin review (staged, never auto-promoted).
check_issueLast resort. Search a tool's GitHub issues for known bugs — only after 4+ retries and a docs review.

Session

ToolWhat it does
classify_promptLocal: decide whether a tool search is needed at all (skips ToolCairn for non-tool prompts).
toolcairn_authManage local sign-in: login / status / logout.

Configuration

Environment variableDefaultPurpose
TOOLCAIRN_TRACKING_ENABLEDtrueSet false to disable usage event logging (see Privacy).
LOG_LEVELinfoSet debug for verbose stdio diagnostics.
MCP_TRANSPORTstdioSet http for HTTP transport (advanced).

Where things live

  • Credentials → ~/.toolcairn/credentials.json (mode 0600, 90-day expiry).
  • Per-project state → .toolcairn/{config.json, audit-log.jsonl, tracker.html} at each detected project root.

The tracker.html file is a self-contained dashboard — open it in any browser to see every tool call, pending evaluation, and audit entry in real time.


Session management

Your sign-in lives at ~/.toolcairn/credentials.json and lasts 90 days. From inside your agent:

toolcairn_auth { action: "status" }   # check current sign-intoolcairn_auth { action: "logout" }   # clear credentials

To re-authenticate, simply restart your agent — the sign-in flow opens automatically.


Privacy & telemetry

We're explicit about what leaves your machine.

Sent to ToolCairn (when tracking is enabled):

  • Tool name, duration, and success/error status — for service health and product analytics.
  • Never full prompts, response bodies, or project file contents.

Stays local:

  • Every audit entry (.toolcairn/audit-log.jsonl).
  • Project state and tool snapshots.
  • Your credentials file.

Opt out at any time:

bash
TOOLCAIRN_TRACKING_ENABLED=false

Tools still work normally; only the lightweight usage events are skipped.

Full privacy policy: toolcairn.neurynae.com/privacy.


Troubleshooting

Browser doesn't open for sign-in. Copy the URL printed to stderr and visit it manually; enter the device code shown.

Module not found or version errors. Confirm Node 22+ with node --version.

Behind a corporate proxy. Set HTTPS_PROXY — npx and the MCP server respect it.

Self-hosted backend. Set TOOLPILOT_API_URL=https://your-host.

Sign-in expired. Restart your agent — the device-code flow re-runs automatically.

Verbose logs. Set LOG_LEVEL=debug.

What is the agent doing? Open .toolcairn/tracker.html in your browser for an auto-refreshing dashboard of every tool call.


CLI: scan

A standalone health scan that doesn't start the MCP server:

bash
npx @neurynae/toolcairn-mcp scan [dir]

Reads dependency manifests in [dir] (default: current directory) — package.json, requirements.txt, pyproject.toml, Cargo.toml — and reports health, alternatives, and warnings for each declared dependency.

Add --json for machine-readable output.


Links


Contributing

Issues and feature requests are welcome at github.com/neurynae/toolcairn-mcp/issues.

The graph engine, search pipeline, and indexer are closed-source. This repository contains the public MCP client and project-config layer that runs on user machines.


License

MIT — © 2026 NEURYNAE. See LICENSE.

Source: README.md at commit 8ca7214

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts