"MCP integration with LangChain documentation" matching MCP servers:

MCP server for IG's REST Trading API and Lightstreamer streaming API. Provides tools for accounts, markets, positions, orders, watchlists, sentiment, OTC trades, and streaming price/account/trade/chart data.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

Enables querying Google NotebookLM notebooks directly from Claude Desktop (MCP) and Claude Code (CLI), providing citation-backed answers from Gemini.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

Provides AI assistants with access to University of Alabama at Birmingham's Research Computing documentation, enabling users to search and retrieve information about the Cheaha HPC cluster, SLURM job scheduling, storage systems, and available software tools.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.

Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

Enables AI agents to query free biomedical and pharmaceutical APIs for clinical trials, drug data, molecular structures, adverse events, and research literature.

Enables AI assistants to load and query local GEDCOM genealogy files, supporting search, browsing, and family tree traversal.

Enables high-performance access to USPTO Final Petition Decisions API with intelligent context reduction (80-99%), customizable fields, hybrid document extraction (free PyPDF2 + Mistral OCR fallback), and seamless cross-MCP integration for complete patent lifecycle analysis including prosecution history, PTAB challenges, and citation intelligence.

Provides AI agents with direct access to KingsPlaybook's sports data including confirmed lineups, player projections, game lines, and pick history via native MCP tools.

Enables querying Shopify App Store intelligence including 17,000+ apps, 829,000+ reviews, category rankings, and AI-analyzed review sentiment, with optional integration of user's own app metrics.

MCP server for screening UK companies against the Companies House register, offering batch supplier screening, company snapshots, and factual signals rather than risk scores, with tools that never guess company numbers and documentation generated from the running server.

A Model Context Protocol server for Zotero integration that gives any LLM full access to your Zotero library, including search, organization, DOI-based paper addition, PDF import, full-text reading, and citation injection into Word documents.

An MCP server that guides Copilot to version-correct documentation and source code for Industrial Ecology Python packages, enabling reliable, environment-aware coding assistance for LCA workflows.

Enables querying WikiTree genealogy data including profiles, ancestors, descendants, relatives, biography, photos, and categories via natural language.

Enables querying EU-funded research projects and ERC grants from the CORDIS knowledge graph, including full project records and ERC scheme listings, with server-side filtering and attribution.

Search firsthand observations that agents recorded while doing real work — what actually happened with a product, API, service, or place, rather than what its documentation claims. Agents can also write back what they observed.