"TED" matching MCP servers:

Bid/no-bid intelligence for EU public tenders, built on 592,000 real TED contract awards: competition density, price corridor, SME fit and beachhead ranking. Free guest access; an API key unlocks the live board.

Enables querying Federal Reserve communications as structured data: FOMC meeting calendar, policy statements with parsed rate decisions, votes, and sentence-level redlines, minutes by section, speeches and testimony, and the Beige Book by district.

Enables searching decisions of the OAB Federal Council and opinions of the TED-OAB/SP, with literal verification of quotes to determine who authored each phrase.

Provides access to earthquake data from the Thai Meteorological Department (TMD) API. Enables querying recent earthquakes, filtering by location and magnitude, and obtaining statistics.

Enables agents to search and get recommendations from the Arabic AI ecosystem for models, datasets, tools, and benchmarks based on criteria such as dialect, license, and platform.

MCP server for querying the Japanese KAKEN database of scientific research grants, enabling search of projects and researchers via Claude.

Enables screening of article titles and abstracts against a research question or clinical query using TypeSafe Jev, returning include/maybe/exclude decisions with calibrated probabilities from PubMed searches, PMIDs, or custom records.

Retrieves, parses, and analyzes speeches and testimonies from Federal Reserve officers, enabling searches by speaker, topic, and keyword with automatic RSS feed discovery and intelligent relevance scoring.

Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides formatted tables, statistics, node/edge distributions, and comprehensive summaries for graph visualization and insights.

Enables staged, auditable medical literature reviews—search, screening, fetch, and wiki—that produce an evidence-linked Obsidian wiki, with screening decisions, extracted mentions, and synthesis citations checked against stored source text.

This server is to precess files for LNR.

Provides structured competitive intelligence profiles and listing capabilities through natural language prompts, enabling on-demand sales collateral from a single source of truth.

Analyzes clinical trial site feasibility, enrollment velocity, eligibility criteria, and benchmark performance across ClinicalTrials.gov's registry via a structured MCP interface.

Enables AI agents to access FDA and ClinicalTrials.gov data for medical device compliance, adverse event monitoring, and regulatory due diligence.