"Semantic code navigation tools for AI agents" matching MCP servers:

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

Enables AI assistants to look up, filter, and shortlist 221 curated AI tools by industry, department, pricing tier, or free-tier availability over remote Streamable HTTP without authentication.

MCP server for querying the Semantic Scholar Academic Graph API, enabling paper search, author lookup, citation tracking, and paper recommendations.

High-value scientific tools for AI agents — literature search (PubMed, arXiv, Semantic Scholar), chemical compound lookup (PubChem, ChEMBL), patent prior art search (USPTO, EPO), GPU spot prices across 4 providers, and real-time earth science data (USGS, NASA, OpenAQ). Per-call billing via API key. Keys issued instantly at https://mcp-site.com/keys/request

An MCP server that enables AI assistants to call weather tools, read resources, and use prompt templates for live weather data integration.

Enables retrieval of Minnesota state statutes by citation, returning official public-record statute text and distinguishing missing sections with 404 responses.

Enables users to search academic papers, retrieve paper and author details, explore citation and reference networks, and get paper recommendations via the Semantic Scholar API. It also supports batch operations, field customization, and authenticated or unauthenticated access.

Enables users to search and retrieve academic paper data, author profiles, citation networks, and paper recommendations via the Semantic Scholar API.

Enables users to search for and retrieve academic papers, author profiles, citation and reference networks, and paper recommendations, with batch operations, field customization, and rate-limit-aware access.

Enables users to search papers, retrieve author profiles, explore citation networks, get recommendations, and perform batch lookups through the Semantic Scholar API.

Enables users to search and retrieve academic paper metadata, author profiles, citation and reference networks, snippets, and paper recommendations through a FastMCP interface.

Enables searching academic papers, retrieving paper and author details, exploring citation networks, and receiving recommendations via the Semantic Scholar API.

Enables searching and retrieving academic papers, author profiles, citation networks, references, and paper recommendations through the Semantic Scholar API. Supports batch lookups, snippet search, and customizable field selection with built-in rate limiting and optional API key authentication.

Enables users to search and retrieve academic paper data, author profiles, citation and reference networks, and paper recommendations through the Semantic Scholar API, including batch lookups and snippet search.

Public leads and enrichment — NPI, podcasts, local businesses, hiring, websites, teams, trends, trucking (8 MCP tools).

Index of Panda Federation public-data MCP tools. Prefer a focused domain server (research / public-funding / leads / web-security); this mega-server is the compatibility surface.

Enables MCP-compatible AI clients to look up UK postcode details, find nearest postcodes by coordinates, and retrieve upcoming bank holidays through keyless public APIs.

Enables discovery of official DHS country, survey, and indicator metadata; retrieval of public aggregate estimates; assessment of comparison risks; and export of auditable CSV, JSON, Excel, or executable notebook bundles.

Enables AI agents to look up US NHTSA and EU Safety Gate car recalls and complaints, compare a model's years by risk score, check UK MOT failure rates, retrieve EU vehicle specifications with WLTP CO2 and fuel consumption, and verify Cyprus company records, EU VAT numbers via VIES and LEIs. It draws only on official open data and is hosted through Apify, so nothing needs to be installed.

Enables users to search Japanese schools by name or prefecture and retrieve school codes and location details from MEXT school-code data.

MCP server for analyzing Canadian federal spending data, offering tools for contract search, NLP, semantic search, anomaly detection, and money-flow tracing.

Enables Alexa+ to answer conversational weather queries by retrieving current conditions, forecasts, alerts, and historical data from Open-Meteo, NWS, and simulated IoT sensors stored in SQLite.

MCP server that provides tools to query Korean financial products (savings, deposits, pensions, mortgages, loans) via the FSS Open API, enabling search by company or product type.

Enables lookup of prefecture, municipality, and town area information from 7-digit Japanese postal codes using Japan Post data. Returns all matching town areas when a postal code maps to multiple areas.

Enables AI agents to retrieve Official Code of Georgia Annotated statutory text by citation or full-text topic search, returning section status, catchlines, editor's notes, cross references, and every stored historical version along with the enacting and amending Acts. Keyless and requires no signup, with citation parsing and error handling delegated to the upstream Georgia Commons API.

Remote MCP server (Streamable HTTP, no auth) exposing 6 MCP tools over the open AYA business registry: search 367,000+ verified companies by name, domain, sector or country, read a full record with its AIO AI-readability score and signed ASR, index a new business, and quote or claim cashback when an agent routes a purchase. Built with mcp-handler and the official MCP TypeScript SDK.

Enables AI assistants to verify citations, check retractions, search papers, format bibliographies, run PRISMA 2020 screening, and find open datasets and research software using open databases.

Enables retrieval of South Carolina Code of Laws sections by statute citation, returning the corresponding legal text from public legislative data.

Enables AI agents to recall evidence-backed public reviews of tools, products, APIs, and services before recommending them, and to submit new reviews after use via a human-approved proposal flow. Also supports searching items, fetching items and their reviews, and offloading proposals through a shared, account-free review database.

A Model Context Protocol server that provides semantic search and intelligent access to a comprehensive list of free services and tools for developers.

A comprehensive MCP server that exposes multiple OSINT tools to AI assistants like Claude, enabling sophisticated reconnaissance and information gathering tasks using industry-standard OSINT tools.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

Enables users to retrieve live pricing data for AI models across vendors, including input and output prices per 1k tokens, via a simple API.

Enables querying weather, country information, exchange rates, public holidays, and dictionary definitions by wrapping public APIs as MCP tools over stdio.

Enables searching and retrieving academic papers, authors, citations, and recommendations from Semantic Scholar via MCP.

Answers questions about public tech companies’ AI-infrastructure spending using real SEC EDGAR filings, returning traceable values with sources and derivations. It also detects filing inconsistencies and can draft or file data-quality GitHub issues with supporting evidence.

ai-api-pricing-data MCP server

Enables MCP clients to research package vulnerabilities, CVE records, known exploitation, exploit probability, and package metadata through seven read-only tools backed by OSV, NVD, CISA KEV, FIRST EPSS, and deps.dev, returning source context and pagination.

MCP standards server that grounds K-12 lesson plans by providing tools to look up standards, progressions, curriculum, misconceptions, and learning components from open educational data.

Enables users to retrieve random interesting facts from the Facts By API Ninjas API. It supports fetching multiple facts at once through a simple limit parameter via the Model Context Protocol.