"MyLinedChart - Charting Tool or Library" matching MCP servers:

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.

This MCP server enables AI agents to search and retrieve exact, cited passages from a large corpus of public-domain books, including full-text search, book metadata, chapters, quotes, and 'ask book' Q&A. Payments are handled via x402 micropayments on Base.

An MCP server that lets AI assistants add papers and books to your Zotero library by DOI, arXiv ID, or ISBN, and manage your collections, tags, and items.

MCP server for the Mamba Labs Meta Ad Library Monitor actor on Apify. Find a company active Facebook and Instagram ads through the Meta Ad Library API.

Enables searching and analyzing LinkedIn's public ad library for any company, including ad creatives, targeting, and competitive insights. Supports image and video analysis, company comparisons, and detailed ad lookups via natural language.

Search and analyze TikTok's public ad library, including ad creatives, video scene-by-scene insights, and advertiser comparisons.

Audits MCP tool descriptions for quality and reliability, scoring them 0-100, detecting smells, and providing rewritten versions for better agent accuracy.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

Enables searching and analyzing Facebook's public ads library for any brand, including ad images, text, and video analysis.

MCP server for creating and managing digital human models with built-in EU AI Act compliance, part of the MEOK AI Labs ecosystem.

Enables searching Meta ads by text, country, category, advertiser, or landing domain from an AI assistant, then opening individual ads and advertiser pages, ranking what is scaling, finding related ads by page or domain, and downloading images and videos for ad ids.

Enables an AI assistant to search TikTok ads by text, country, category, or landing domain, open individual ads to inspect their copy, destination and run dates, and identify the advertiser operations behind them. All calls are pinned to TikTok so results stay within that corpus, with usage and quota checks included.

Provides instant, offline access to a curated intelligence database of 25 Solana/web3 earning platforms, with tools to search topics, retrieve detailed evidence notes, and view verdict, payout rail, and KYC gate statistics.

Protects AI agents from bad tool outputs, schema mismatches, and tool poisoning by validating, sanitizing, and scoring reliability of tool responses.

MCP server that detects and guards against tool poisoning and prompt injection attacks in tool descriptions and schemas. It provides risk scoring, pattern detection, safe rewriting, and audit reports with zero external API cost.

Turns a user's own Markdown wiki into a locally indexed knowledge base, enabling semantic search, per-page retrieval, source listing, and citation-backed RAG question answering. All embedding and generation run through a local Ollama instance, so queries and documents never leave the machine.

Lets a human review what an AI agent is about to post to a chat tool (Slack first) before it is sent. Renders the draft, destination and warnings (@here/@channel, unresolved mentions, format issues) in a neutral local HTML preview; never sends anything.

Analyzes multi-step AI agent tool chains to compute success probability, identify bottlenecks, and suggest better execution orders, enabling more reliable agents via local pure-math computation.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables AI agents to search and browse a curated catalog of 330+ third-party APIs and MCP servers using tools like search_apis, get_api, get_reviews, and list_categories, with no API key required.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.

20-tool MCP server - production web-intelligence API gateway exposing 10 Website Intelligence + 7 Marketing APIs as 20 MCP tools over Streamable HTTP + stdio, with pay-per-call Solana USDC payments. 20 tools: URL-to-Markdown, metadata, technology detection, contact extraction, SEO audit, SSL, DNS, sitemaps, robots.txt, Google Maps reviews, AI company/website summaries, citation checking Cloud-host

Enables autonomous agents to automatically repair and guard tool-call schemas through deterministic AST analysis and parameter projection validation, ensuring reliable, schema-compliant interactions in MCP-compatible environments.

Enables agents and MCP-compliant clients to resolve tool execution graphs by scheduling calls as a topological dependency DAG, running independent tools in parallel batches while speculatively prefetching and evaluating arguments. This cuts latency and token burn by handling routine tool orchestration deterministically without extra LLM round-trips.

This MCP server wraps agent tool calls with fault-tolerant retry logic, including adaptive exponential backoff, full jitter, 429 rate-limit backpressure handling, and circuit breaker patterns. It enables autonomous agents to execute tools reliably without frontier LLM round-trips, using a zero-dependency Python stdio JSON-RPC interface.

Enables AI agents to track, calibrate, secure, and audit Milwaukee M18 FUEL ONE-KEY power tools through BLE proximity, geofencing, torque profiles, remote lockout, and fleet telematics.

A lightweight, zero-dependency MCP gateway adapter that enables Claude/Cursor agents to process structured JSON payloads and integrate with GenPark AI agent pipelines.

This MCP server searches Google's public ads database and uses AI to analyze ad images/videos, with intelligent caching for performance.