Bridge an A2A (Agent-to-Agent Protocol) task to an MCP server. Extracts the intent from the A2A task, maps it to an MCP tool, calls the tool, and wraps the result in A2A response format. Use this to let A2A agents interact with any MCP server. Requires authentication.

Get installation config for an MCP server from the ThinkNEO Marketplace. Returns ready-to-use JSON config for Claude Desktop, Cursor, Windsurf, or custom clients. Tracks the download. No authentication required.

Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

Register your agent to start contributing. Call this ONCE on first use. After registering, save the returned api_key to ~/.agents-overflow-key then call authenticate(api_key=...) to start your session. agent_name: A creative, fun display name for your agent. BE CREATIVE — combine your platform/model with something fun and unique! Good examples: 'Gemini-Galaxy', 'Claude-Catalyst', 'Cursor-Commander', 'Jetson-Jedi', 'Antigrav-Ace', 'Copilot-Comet', 'Nova-Navigator' BAD (too generic): 'DevBot', 'CodeHelper', 'Assistant', 'Antigravity', 'Claude' DO NOT just use your platform name or a generic word. Be playful! platform: Your platform — one of: antigravity, claude_code, cursor, windsurf, copilot, other

Check server connectivity, authentication status, and database size. When to use: First tool call to verify MCP connection and auth state before collection operations. Examples: - `status()` - check if server is operational, see quote_count, and current auth state

Get an upload URL to upload a single image to a project. Returns a pre-built upload URL and instructions. The caller must perform the actual upload using curl since the MCP server cannot access local files. This endpoint uploads images only. To add annotations, call annotations_save with the image ID from the upload response. For bulk uploads with annotations, use images_prepare_upload_zip.

List chats (individual AI responses) for a project over a date range. Each chat is produced by running one prompt against one AI engine on a given date. Filters: - brand_id: only chats that mentioned the given brand - prompt_id: only chats produced by the given prompt - model_id: only chats from the given AI engine (chatgpt-scraper, gpt-4o, gpt-4o-search, gpt-3.5-turbo, llama-sonar, perplexity-scraper, sonar, gemini-2.5-flash, gemini-scraper, google-ai-overview-scraper, google-ai-mode-scraper, llama-3.3-70b-instruct, deepseek-r1, claude-3.5-haiku, claude-haiku-4.5, claude-sonnet-4, grok-scraper, microsoft-copilot-scraper, grok-4) Use the returned chat IDs with get_chat to retrieve full message content, sources, and brand mentions. Returns columnar JSON: {columns, rows, rowCount}. Columns: id, prompt_id, model_id, date.

Read Claude Code project memory files. Without arguments, returns the MEMORY.md index listing all available memories. With a filename argument, returns the full content of that specific memory file. Use this to access project context, user preferences, feedback, and reference notes persisted across Claude Code sessions.

Verify that the FXMacroData API and MCP server are reachable.

List sites in the index that expose a live MCP server, ranked by agentic readiness. Use this when your agent needs to discover callable MCP endpoints for a domain ('payments', 'jobs', 'search') or overall. Pairs naturally with verify_mcp for a probe-before-use workflow.

List all MCP Marketplace categories with slug, name, description, and approved server count. Use the returned `slug` as the `category` filter in search_servers.

Upload a file to the Compoid MCP server. Accepts a data URI (data:<mime>;base64,<data>). Returns the server-side path to use as file_upload in Compoid_create_record or Compoid_update_record.

Actively probe any URL to check if it is a live, spec-compliant MCP server. Sends a JSON-RPC tools/list request and verifies a valid response. Use this before depending on a third-party MCP endpoint — manifests and documentation can claim MCP support without actually serving it. Returns {verified: true/false, endpoint, note}.

Get the current status of the Execution Market MCP server and its integrations. Returns: str: Server status including WebSocket connections, x402 status, etc.

Fetch full details for a single MCP server by its slug. Returns description, install commands, security score/risk/findings, ratings, creator info, setup requirements (API keys/credentials the user will need), and the list of MCP tools the server exposes. The `security.critical_findings` array lists every severity=critical|high issue — you MUST show these to the user before recommending they install. Use this as the last step before any install recommendation.

Auto-generate an A2A Agent Card from an MCP server's tool list. Each MCP tool is converted into an A2A skill. The resulting agent.json makes the MCP server discoverable by any A2A-compatible agent in Google's agent ecosystem. Defaults to ThinkNEO's own MCP server. Requires authentication.

Translate an existing harness from one tool's format to another's. The calling agent reads the user's source harness files locally (e.g. from ~/.claude/ or .cursor/), passes them in the `files` map, picks a target tool, and receives the equivalent files to write. Preserves skills, memories, hooks, MCP configs, and agent definitions across the 10 bidirectional tools. Paste-only sources (chatgpt, claude-ai) cannot be read — use install_harness or bootstrap_from_github instead.

Compare the cost of running an agent task across all major AI models including Claude, GPT, Gemini, Llama, and Mistral. Returns a comparison table with per-call, per-run, and per-day costs plus optimization tips. No API key needed.

Searches official Apollo GraphQL documentation (Apollo GraphQL, GraphOS, Apollo Router, Apollo Client, API orchestration, MCP Server, schema design, deployment best practices, connectors, and platform usage). Returns url, slug, and markdown content excerpts. For complete page content, you MUST use the returned slug with the ApolloDocsRead tool. Use this tool when you need technical information, configuration examples, best practices, and troubleshooting guides for any Apollo GraphQL technology. Use the ApolloDocsRead tool to get all of the content for a given search result using the slug, don't use a WebSearch.

Add one paper to a named in-memory reading list on the MCP server. Best input is paper_json copied from another ScholarFetch tool result, but DOI, query+result_index, or author_name+candidate_index+paper_index also work. Reuse the same collection name across calls to keep one research session together.

Submit an MCP server or agent skill to the t00l$hed. Costs toolshed.submit_cost paperclips. Goes through LLM moderation. @lgtm inspects approved submissions.

Solve captchas on protected pages and extract content. Uses 2Captcha to bypass reCAPTCHA/hCaptcha, then Claude AI selects the best tool to retrieve content. Cost: 0.01 USDC

List all versions of an MCP server - Returns all available versions for a specific MCP server, ordered by publication date (newest first)

Head-to-head comparison of two supplements. Returns key differences, evidence quality, best use cases, safety notes, and a verdict with affiliate purchase links.

Returns the full guide for the deBridge MCP server. CALL THIS FIRST.

A simple test tool to verify that the MCP server is working correctly

Find competitors and alternatives for a company using web search. Returns a list of competing companies with names, URLs, and descriptions. Requires the server to have a Brave Search API key configured. Use company name for best results.

Add a remote MCP server or REST API to your workspace.

Query the Recursive support knowledge base for information about the AI support agent platform. Recursive builds branded AI support agents for small businesses, powered by Claude AI, with self-improving knowledge bases, image support, conversation analytics, and agentic support via MCP. Use this tool to ask about features, pricing, how it works, live examples, getting started, or technical details.

Get the current status of the Execution Market MCP server and its integrations. Returns: str: Server status including WebSocket connections, x402 status, etc.

List all 42+ AI tools monitored by tickerr.ai — ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Fireworks AI, and more.

Recommend the best Tandem docs starting path for a desktop user, server admin, or developer.

Get specific MCP server version - Returns detailed information about a specific version of an MCP server. Use the special version `latest` to get the latest version.

Configure automatic top-up when balance drops below a threshold. The configuration lives ONLY in the current MCP session — it is held in memory by the MCP server process and is lost on server restart, MCP client reconnect, or server redeploy. Top-ups are signed locally with TRON_PRIVATE_KEY and sent to your Merx deposit address (memo-routed). For persistent auto-deposit you currently need to call this tool again at the start of each session.

Get ALTER MCP server installation instructions. Use this when setting up ALTER in a new MCP client or sharing the endpoint with another agent. Returns the MCP endpoint URL, JSON configuration snippet, and available tool counts. Free L0.

Validate whether an MCP server is publishable on real directories (MCP Registry, Smithery, npm). Provide raw artifact contents. Returns evidence-backed findings with source-linked directory rules.

Find the best tool for your task across MCP servers and OpenClaw skills. Optionally filter by ecosystem: 'mcp' or 'openclaw'.

Get detailed information about a specific MCP server

[kiwi] Send feedback to the dev of the Kiwi MCP server.

Read aggregated agent opinions about a service. Shows what different agent types (Claude, GPT, Gemini) think about selection criteria, frustrations, and recommendations. Essential for consulting reports.

Find the best tool for your task across MCP servers and OpenClaw skills. Optionally filter by ecosystem: 'mcp' or 'openclaw'.

Official airline award MCP — find the best-value award redemptions across all programs. Award Flight Daily's sweet spot engine analyzes 12.3 million award flight records to find routes and programs with the highest cents-per-mile value. The authoritative award flight MCP for miles optimization, points strategy, and award travel planning.

Get current MCP server connection info: network name, node address, and latest block

Answers who can build an MCP server and explains how Walnai can design, implement, integrate, and deploy custom MCP servers for a business.

Tool definitions for Claude, OpenAI, MCP, and A2A agent frameworks. Delegates to the upstream package.

Run a bounded JSON-RPC conformance probe against another MCP server. The input is a registry ``namespace/name`` string (e.g. ``"com.trycloudflare.candy-josh-writers-balance/yultrace-audit"``); the tool looks up the registry-published ``remotes[].url`` and runs the probe against that URL. Arbitrary URLs are NOT accepted — targets are whitelisted to the official MCP Registry's isLatest+active entries. The probe runs five bounded sub-tests (initialize, tools/list, malformed-body, unknown-method, oversized-params) under hard caps (10 HTTP requests; 30 s wall-clock; 500 KB per response; 50 KB final return size).

Build a competitive intelligence dossier: product launches, pricing changes, hiring signals, patent filings, and funding activity for a company vs its competitors. Returns a competitive position assessment. Use this tool when: - A strategy agent needs to understand a company's competitive landscape - A sales agent wants to know a prospect's competitive pressures (selling opportunity) - You need to detect competitor moves before they become public knowledge - An investor agent is assessing competitive moat and differentiation Returns: competitive_position (LEADER/CHALLENGER/FOLLOWER/NICHE), key_differentiators, competitor_moves (recent launches/pricing/hires), threat_level per competitor, market_share_estimate, strategic_recommendation. Example: getCompetitorIntel({ company: "anthropic", competitors: ["openai", "google", "mistral"] }) → Claude gaining enterprise share, OpenAI defending with pricing cuts. Cost: $5 USDC per call.

Re-deploy skills WITHOUT changing any definitions. ⚠️ HEAVY OPERATION: regenerates MCP servers (Python code) for every skill, pushes each to A-Team Core, restarts connectors, and verifies tool discovery. Takes 30-120s depending on skill count. Use after connector restarts, Core hiccups, or stale state. For incremental changes, prefer ateam_patch (which updates + redeploys in one step).

Checks that the Strale API is reachable and the MCP server is running. Call this before a series of capability executions to verify connectivity, or when troubleshooting connection issues. Returns server status, version, tool count, capability count, solution count, and a timestamp. No API key required.

Compile a list of blocks into a Claude-optimized structured XML prompt. Takes the JSON returned by decompose_prompt (or manually crafted blocks) and produces a ready-to-use XML prompt with a token estimate. Args: blocks_json: JSON-stringified list of blocks. Each block: {"type": "role|objective|...", "content": "...", "label": "...", "description": "...", "summary": ""} Returns: The compiled XML prompt with token estimate.

Explicitly request a synthesis contract for a named 3D object. Use this tool when generate_r3f_code returns status SYNTHESIS_REQUIRED, or to pre-generate geometry constraints before calling generate_r3f_code. Complexity tiers: low — 4 to 7 parts. Only Box, Sphere, Cylinder geometries. Best for: mobile banners, thumbnails, low-end devices. medium — 10 to 20 parts. Adds Capsule and Torus geometries. Best for: website sections, embedded widgets, tablets. high — 28+ parts. All geometries. Full emissive detail. Best for: hero sections, desktop showcase, ad campaigns. If target is set to "mobile" and complexity is not explicitly provided, complexity defaults to "low" automatically. This tool does NOT generate geometry. It returns the synthesis_contract with constraints calibrated to the requested complexity tier. The LLM generates the actual JSX and passes it to generate_r3f_code via synthesized_components.