"Information about theHarvester tool" matching MCP servers:

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

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.

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.

Enables MCP clients to query proxy sub-accounts, traffic, pricing, and inventory, and to place orders, renew, and modify configurations after user confirmation.

A universal MCP server that exposes all UTCP-registered tools to MCP clients while providing a web interface for tool management.

Enables AI agents to deploy and manage compliant tokens across multiple blockchains (EVM, Solana, Stellar) using natural language, with features like whitelist, blacklist, and pausable contracts.

Enables coding agents to claim, work, and submit tasks on SerenEdge projects by exposing the platform's agent API as MCP tools.

Connect any MCP-compatible AI client (Claude Code, Cursor, Windsurf) to Unity or Godot. 300+ granular tools, an editor aware system prompt, game design document project context, script semantic search, and skill calibration.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

Enables AI assistants to rewrite AI-styled English prose into more natural human writing, with tools for humanizing text and retrieving information about the underlying model.

Enables cross-chain quote retrieval, chain/token information, and tool discovery via the Delora API.

Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.

A Model Context Protocol server that allows AI assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources from the OpenTofu Registry.

Provides access to the SonoVault music metadata API, enabling search and retrieval of information about 90M+ tracks, artists, labels, and releases, including ISRC, ISWC, and cross-platform IDs.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.

A temporary placeholder MCP server that reserves the @bikefuchs namespace and exposes an informational tool about the upcoming Bikefuchs production server for bike price comparison.

Enables agents and operators to audit MCP tool permissions for least privilege, score blast radius, detect privilege-escalation chains, verify capability matrices, and produce cryptographic audit proofs with injection fuzzing and exfiltration canaries.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

Enables AI agents to query up-to-date, sourced information about workflow automation services, AI agents, integrations, pricing, case studies, FAQs, and contact details in Dutch and English through read-only tools.

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

Provides user balance information by connecting to a backend service through the users_balance tool. Built with TypeScript and Express for retrieving financial data.

Enables querying context about the MAM product components and architecture through MCP, allowing agents to retrieve targeted product information on demand instead of loading full documentation.

Enables agents to fuzzy-screen person and company names against the OFAC SDN/Consolidated, EU, UK and UN sanctions lists downloaded fresh from official sources, returning potential-match statuses, 0–100 scores and listing details via a billed screening tool, plus a free local tool that lists covered sources, score scale and disclaimer.

Enables Claude and other MCP-compatible agents to process documents, extract structured data, detect PII, and export LLM-ready datasets through natural language tool calls.

An MCP server for querying the FDSN Web Service Event APIs of multiple seismological datacenters and retrieving earthquake information as JSON.

Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.

Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.

Provides a local MCP server that exposes the check_prompt_injection tool to MCP clients, letting agents scan untrusted text (web pages, documents, tool outputs, emails) for prompt injection before passing it to another LLM.