ChatMate - Your AI-Powered Chatbot

Search 2,000+ verified arts and culture grants from Claude, Cursor, or any MCP client. Real deadlines, real funders, no hallucinations.

A read-only Xiaohongshu MCP server for AI workflows, with note search, note detail retrieval, and first-level comment analysis for competitor research, audience insight, and topic discovery.

`socialcrawl-mcp` is an MCP server that connects AI agents to the [SocialCrawl API](https://socialcrawl.dev) — a unified social media data API covering 21 platforms and 108 endpoints. Retrieve profiles, posts, comments, search results, trending content, and analytics from TikTok, Instagram, YouTube, Twitter/X, LinkedIn, Reddit, and 15 more platforms. One API key, one consistent response format, every platform. **What the MCP server does:** - Discovers available platforms and endpoints dynamically - Fetches live social media data on your behalf - Validates requests locally before making API calls (saves credits) - Provides built-in API documentation the agent can query on demand ## Installation ### Claude Code (quickest) ```bash claude mcp add --scope user socialcrawl -- npx -y socialcrawl-mcp ``` Then set your API key: ```bash claude mcp add-env socialcrawl SOCIALCRAWL_API_KEY sc_your_key_here ``` ### Claude Desktop Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ## Setup ### 1. Get your API key Sign up at [socialcrawl.dev](https://socialcrawl.dev) and grab your API key from the dashboard. Every account starts with **100 free credits** — no credit card required. ### 2. Add the key to your config Replace `sc_your_key_here` in the installation config above with your actual API key (starts with `sc_`). > [!TIP] > You can also set `SOCIALCRAWL_API_KEY` as a system environment variable instead of putting it in the MCP config. The discovery and documentation tools work even without a key — only actual API requests need one. ## Usage Ask your AI agent in natural language. The MCP server handles the rest.

MCP Advisor & Installation - Use the right MCP server for your needs

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

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Your AI agent scrapes X today, gets broken HTML tomorrow. Taprun compiles the site once into a deterministic program, then `tap doctor` monitors health contracts + structural diffs to catch silent breakage before your data goes stale. 140+ pre-built skills across 68+ sites. Works with Claude Code, Cursor, Windsurf, any MCP host.

MCP (Model Context Protocol) server for Beans issue tracker. Provides programmatic and CLI interfaces for AI-powered interactions with Beans workspaces.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Institutional-grade SEC financial data for AI agents — in one line of config. Connect Claude, Cursor, ChatGPT, Codex, or any MCP-compatible client to 35 years of SEC EDGAR data (1990–today, 16,000+ US companies, 100M+ financial facts) and let your agent do the analysis. MCP Server URL: https://mcp.valuein.biz/mcp What your agent can do Look up any US public company — tickers, CIKs, sectors, S&P 500 membership Pull fundamentals — income statement, balance sheet, cash flow, annual or quarterly Read financial ratios — margins, ROIC, leverage, turnover, cash conversion Compare to peers — automated peer selection + side-by-side ratios Link straight to the source filing — 10-K, 10-Q, 8-K URLs from SEC EDGAR Audit capital allocation — buybacks, dividends, capex, M&A history Screen the market — factor screens, earnings signals, quality filters Run point-in-time backtests — survivorship-free historical universes, no look-ahead bias Verify every number — trace any fact back to the exact filing and line item Search filing text — semantic search across Risk Factors, MD&A, and footnotes Stream bulk data — signed R2 URLs for DuckDB / Pandas workflows (Pro+) 15 tools + 8 built-in analyst/quant/PM playbooks ("Margin & Moat Teardown", "Peer Benchmarking Memo", "Survivorship-Free Backtest", and more). Built for Analysts & PMs running earnings reviews, forensic tear-downs, and peer benchmarking without leaving their AI assistant Quants building PIT factor models and survivorship-free backtests Developers shipping agentic financial products without licensing a data vendor Financial content creators pulling live SEC data into research workflows One token. Every distribution channel. The same Bearer unlocks the Python SDK, Excel Power Query, REST API, and this MCP server. Subscribe once, use everywhere. For more information visit our documentation: https://valuein.biz/mcp

The Kochava for Advertisers MCP Connector is an MCP-compliant interface that exposes ~30 tools covering: - Analytics - Attribution - Campaign management - Tracker management - Reporting (SQL + async) - Reference data - Account setup It effectively turns Kochava into a programmable marketing + attribution platform.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

A production-ready MCP server that connects Claude, Cursor, Windsurf and any MCP-compatible AI directly to APC Overnight's New Horizon API v3. No middleware, no per-parcel fees, no data leaving your infrastructure. Five tools cover the full booking lifecycle: book_shipment creates a consignment and returns a 22-digit waybill; get_label retrieves a PDF, ZPL or PNG label with automatic retry while APC generates it; track_shipment returns status and event history; cancel_shipment removes a booking before manifest; list_services enumerates the 60+ APC ProductCodes available from weekday next-day by 09:00 through to Saturday services, Mail Pack, Courier Pack, Liquid, Limited Quantity, Non-Conveyable, Excess Parcel, Ireland road and 2nd class mail. Multi-piece consignments handled automatically. Live-verified against a real APC business account. Requires an APC business account with API access enabled by your depot.

Give AI agents structured database intelligence. Deterministic SQL, NULL trap detection, EXPLAIN pre-flight. MIT licensed.

Memtrace — Structural Memory for AI Coding Agents The Problem Every AI coding agent — Claude Code, Cursor, Codex, Copilot — starts each turn completely blank. It re-reads raw source files and re-derives the full call graph, type hierarchy, and import tree from scratch on every single invocation. That structural rework burns 60–90% of the context window before any real reasoning begins. Less than 5% of tokens in a typical agentic coding session contribute genuine new intelligence. The rest is expensive, redundant noise — and it compounds: accuracy drops 40% as sessions grow, stale context crowds out signal, and summaries strip out the structural relationships agents need most. The Solution Memtrace is a bi-temporal structural memory layer that turns your codebase into a live, queryable knowledge graph — compiled from the AST, not guessed from embeddings. Every function, class, interface, and API endpoint becomes a typed node with deterministic relationships. Every file save becomes a queryable episode with timestamps, so agents can reason about structure, detect regressions, and time-travel through their own work without re-reading anything. One Rust binary. Zero configuration. Five-minute install. What agents can do with it Find callers, callees, and dependencies instantly — no file scanning, no token waste Compute blast radius before making a change — know exactly what breaks before anything is touched Detect structural drift between sessions — catch regressions the moment they happen, not at PR review Time-travel through code evolution — query any prior state of any symbol, not just git commits Search across the full codebase with hybrid retrieval — BM25 full-text + HNSW vector + graph traversal fused in one query Map API topology across services — cross-repo HTTP call graphs, dependency chains, dead endpoint detection Benefits −90% token cost on structural queries (Mem0) +26% accuracy on multi-step agentic tasks (Mem0) −91% p95 latency on structural lookups vs. RAG baselines +32.8% SWE-bench bug-fix success rate when agents have graph context (RepoGraph) 200–800ms per-save re-indexing — every file save is a queryable episode in under a second 40+ MCP tools covering indexing, search, relationships, impact analysis, temporal evolution, API topology, graph algorithms, and direct Cypher queries 12 languages + 3 IaC formats supported via Tree-sitter grammars Local-first, closed-source Rust — code never leaves the machine, no account required, no telemetry

高德地图官方 MCP Server

@q-mesh/mcp lets Claude, Cursor, Continue and any MCP client query the [QMesh](https://q-mesh.com) crowdtesting platform.

Exposes the full Git workflow to any MCP-compatible AI agent — inspect, write, branch, remote, stash, rebase, LFS, git-flow, documentation lookup, and more. Designed to be safe by default, composable, and fast.

Read and author HiveLearn communities, courses, events, quizzes, and certificates.

Web content fetching and conversion for efficient LLM usage

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

AI security intelligence on Base. Three paid MCP tools: CVE vulnerability lookup ($0.01), IP/domain reputation check ($0.01), and secret/credential scan ($0.05). Pay-per-call via x402 USDC on Base. No API keys required for callers. Hosted on Cloudflare Workers with per-tool x402 payment challenges.

Share encrypted, self-destructing secrets directly from Claude, Cursor, or Windsurf. Zero-knowledge E2E encryption. Agent-blind input sources (env:, file:, dotenv:) — secrets never pass through LLM context.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Query live Upwork freelance market intelligence directly from your AI agent. Get real-time data about: - Trending skills with week-over-week change - Average fixed & hourly rates by category - Top hiring countries - Highest-budget jobs in last 24 hours - 7×24 activity heatmap (best times to apply) - Client quality distribution by hire rate - Daily posting trends Data is aggregated from 15,000+ live Upwork job postings, updated every minute. Free for non-commercial use. No authentication required. Rate limited to 30 requests/minute per IP. Built by SnipeWork — AI-powered Upwork job scanner for freelancers.