Ollama Pydantic Project

GitLab API, enabling project management

Rent GPUs, robots, drones, and construction gear on RIGShare; also onboards equipment owners.

Your AI agents don't understand your codebase. Upgrade from text search to code understanding. AI coding agents waste most of their context window grepping files and guessing at code structure. Constellation gives them a persistent, team-wide knowledge graph of your codebase (symbol search, dependency graphs, impact analysis) delivered via MCP so every token goes toward reasoning, not discovery.

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

Podcli is an open-source MCP server and CLI that turns long-form podcasts into upload-ready short clips for TikTok, YouTube Shorts, and Reels. It transcribes with Whisper, finds viral moments with Claude or Codex against your show's knowledge base, crops to vertical with face tracking, and burns in captions in four styles. Ships 17 MCP tools you can plug into Claude Code, Claude Desktop, or Codex — ask the agent to "clip this episode" and it handles transcription, clip scoring, and export end to end. Runs fully locally, no uploads, no API keys required unless you opt into AI clip picking. MIT licensed.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

An MCP server that provides a tool for sending transactional emails via Mailtrap

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Playwright MCP server

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

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.

ai generate tableau file

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Gmail MCP server with scope-gated tools (readonly / send / modify), path jails for attachments and downloads, hardened OAuth credentials, and Sigstore-signed releases. Read, search, send, draft, label, filter, and thread Gmail from any MCP-enabled AI assistant.

MCP server to provide Figma layout information to AI coding agents like Cursor

A Serper MCP Server

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

The Caspio MCP Server allows you to connect your Caspio account to AI assistants so you can query, insert, update, and delete records using natural language. Follow the steps below to create an API profile, configure data permissions, and connect from your AI tool.

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

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

`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.

Connect any MCP-compatible AI to Royal Mail and Parcelforce shipping. This server exposes five tools that let Claude, Cursor or any MCP client book orders, fetch postage labels, track shipments and cancel bookings through the official Click & Drop API. Covers 33 UK and international services, including 1st and 2nd Class, Tracked 24 and 48, Special Delivery, Parcelforce express and international tracked. Accepts both friendly service keys (for example tracked-24 or parcelforce-48) and raw Service Register codes (TOLP24, PFE48) directly. Typical workflows: daily order fulfilment from ecommerce platforms, customer service triage for tracking queries, returns handling, multi-carrier price comparison when paired with apc-mcp, bulk fulfilment days, and shipping quotes at checkout. Booking, tracking and cancellation verified end-to-end against the live Click & Drop API. Label retrieval requires a Royal Mail OBA account.

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.