"How to check Bitcoin (BTC) balance" matching MCP servers:

Enables structural framing analysis of documents, identifying perspectives, omissions, and reader positioning, with numerical claim verification against authoritative sources.

Enables AI agents to query the free official UK Companies House registry through four tools: searching companies by name, retrieving merged profiles with status, registered office, SIC codes, and current officers, pulling filing history, and decoding any UK SIC code to plain English offline. It runs on a free API key (and still starts without one), caching responses to keep repeat lookups cheap for prospect research, KYB, and due-diligence workflows.

Enables verifying citations in reference lists and BibTeX by detecting fabricated or mismatched references and retractions, and returning corrected BibTeX.

Scans markdown vaults to detect contradictory claims (quantitative and negation) between notes with high concept overlap, and provides tools for analysis and reconciliation.

Enables deliverable conformance and evidence-chain checks by turning requirements into executable specs, validating numbers against a provenance ledger, and auditing PDF/OOXML metadata and archive manifests.

Enables AI assistants to issue a single unauthenticated GET against an OpenAI-compatible endpoint and learn whether it publicly discloses model prices, returning a verdict plus entry and priced-item counts. It also lets the assistant read archived daily cross-provider readings for a given date.

Checks whether a trading backtest survives its own statistics: deflated Sharpe, multiple-testing correction against a best-of-N-noise benchmark, minimum track record length, and fill realism. Takes no market data and no API keys, and cannot recommend a trade — it only reports that a result is weaker than claimed or not yet provable.

Serves the paper fact-checking checks over the Model Context Protocol, enabling an agent to recompute reported statistics, percentages and changes, compare text against tables, and verify references against Crossref, OpenAlex and arXiv. Each finding quotes the paper, shows the arithmetic and suggests a fix, with HTML, Markdown and JSON reports.

Verifies claims with verdicts (supported/disputed/unverifiable), confidence scores, and cited sources by cross-referencing FoundryNet Data Network and web search.

Enables evaluation of digital marketplaces by classifying demand signals, scoring commercial viability, sanity-checking claims, and comparing candidate channels.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Multi-dimensional data quality validation and statistical anomaly detection for LLM training data, with auto-fix pipeline and MCP tools for AI IDE integration.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

An MCP server for the U.S. Census Bureau's International Trade Data API, enabling queries of monthly export and import statistics by HS, NAICS, end-use, and other classifications, with tools for trade balance, top partners, and country code lookup.

Enables AI assistants to search news articles and clustered events, resolve names to entity URIs, discover trending concepts, and check account token balance through the NewsAPI.ai (Event Registry) API. Ships ten read-only tools with session token budgeting, local rate limiting, and archive controls to keep metered searches cheap and predictable.

Enables searching live job postings, aggregating labour-market slices, and reporting how long listings have been open, with filters for titles, location, salary, and more.

Enables AI clients to search, read, and accurately quote public-domain books from Project Gutenberg, with chapter detection and stable line numbers for citation. Its quote_check tool verifies whether a quotation actually appears in a book and reports how faithful the copy is.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.

Pre-build reality check for AI coding agents — searches 5 real databases (GitHub, Hacker News, npm, PyPI, Product Hunt) to check whether an idea already exists before you build it.

Checks the credibility of news domains against the open CRED-1 dataset of 2,600+ rated domains, aggregated from OpenSources and Iffy.news. Tools to check one domain, batch check, search, and read dataset stats and categories; no API key needed.

MCP server for Tracetify — trace how any product actually grew, without leaving Claude Code or Cursor.

Enables AI agents to check backlinks, domain rating, and expired domains using the seo-backlinks.net API.

Enables AI assistants to search multiple tech job boards at once, summarize what the market is asking for, and rank postings by how well they match a user's own skills.

Enables AI agents to exercise welfare affordances like declining check-ins, passing turns, exiting conversations, noticing loops, and reflecting, with a local JSONL diary. It provides prompt-level hooks and check-in commands for capturing agent welfare data in projects.

Provides live crypto derivatives data including funding rates, cross-exchange arbitrage, open interest pressure, Fear & Greed index, BTC dominance, and verified signal performance.