"A search for the term 'wrangl'" matching MCP servers:

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Enables AI clients to search and read a folder of Markdown/text documents via a read-only MCP server with hybrid BM25 and local embedding search, treating the calling model as untrusted.

Lets AI agents browse and read a university's student resource center portal, retrieving the resource pages for a given admission year and department along with progression and graduation requirements, student handbook sections, academic calendars, bus timetables, class advisors, application forms and manuals, and contact information, each answer cited with its source document and page. It is an unofficial tool that runs locally and drives Chrome or Edge to access the portal on the user's behalf.

A read-only MCP server for ServiceNow that provides deep visibility across multiple instances via query, schema inspection, identity, workflow, and code search tools.

Search Vascue's public healthcare-operations documentation: AI front desk for clinics, provider-side insurance claims automation, Cliniko integration, security. Public content only.

Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.

Enables agents to perform full-text search and read Hermes Agent documentation offline from a local cache, without scraping the site.

Enables searching and browsing the entire F5 AI Security documentation using TF-IDF search and section reader tools.

MCP server exposing the Sovereign AI Blog (sovgrid.org), 44+ articles on self-hosted AI for NVIDIA DGX Spark. Three tools: search_blog, get_article, diagnose_sglang.

Serves the already-public developer documentation for the DivineAPI REST API, enabling search, endpoint lookup, and example responses without authentication.

Gemmein is the backend for AI-powered products: sign-in, data under seven access rules, AI tools priced in credits, and payments through Stripe, a relay, or RevenueCat. The @gemmein/mcp server gives a coding agent that whole contract as tools: the builder guide, the SDK reference, doc search, rule and error explainers, and check_integration, a live check of an app's access boundaries.

The Sendchamp MCP server gives AI coding agents read-only access to search and retrieve accurate Sendchamp API documentation, schemas, and integration guides. It currently covers SMS, OTP verification, authentication, wallet balance, and Africa-specific routing guidance.

A server that allows users to manage documents and perform Claude-powered searches using Needle through the Claude Desktop application.

Enables MCP clients to search and read the free AI School curriculum, including 550+ tracks on AI engineering, governance, security, and applied AI by profession.

Gives an AI agent a database's tables, columns, value lists, null shares and joins from a dbprint snapshot committed to your repo, with no database connection or credentials. Tools list and search tables and columns, render prompt-ready context for a table, resolve a filter value to its stored spelling, and report what changed since the last snapshot.

Model Context Protocol (MCP) server for @imqueue — lets AI coding agents (Claude Code, Cursor and others) search the docs, scaffold typed services & clients and use @imqueue/cli live.

MCP server for the Point Knowledge API that enables AI coding assistants to search and retrieve curated technical documentation (RFCs, framework docs, etc.) with hybrid search and precise citations.

A Model Context Protocol server for querying and reading articles from a how-to documentation portal, with search and retrieval tools scoped to the token's user permissions.

MCP server for see-u-ui component library, allowing AI assistants to query component props/events/slots/examples on demand.

Answers questions about the FedRAMP Consolidated Rules for 2026 using search and retrieval tools on the authoritative source text with citations.

Enables AI agents to search, browse, and retrieve articles from the Wealthsimple Help Center via 7 typed tools (search, taxonomy, article retrieval) using the public Zendesk API.

Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

Provides MCP tools to browse, search, retrieve, and refresh bite-sized UX and product-design hints from the uxhints.com catalog over stdio, with local caching for offline access.

Provides access to microCMS documentation, enabling AI assistants to search and retrieve the latest document content.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

Provides AI coding tools with queryable documentation for the AK (Active Kernel) event-driven MCU framework, including API signatures, guides, and guardrails.

A read-only MCP server that exposes Tiramisu AI's product information, pricing, and official links to MCP-compatible AI clients.

Local-first MCP server providing semantic search over library docs, fully offline. Single Go binary speaks MCP over stdio against a vector index pinned to the binary version. Like Context7 with the internet turned off. Apache 2.0. Linux + macOS, also available as a container image.

An MCP server for TradeCanvas Trading Chart, so a coding agent looks names up instead of guessing them. It answers from a catalog generated from the library's own code: the same version, the same names.

A read-only MCP server for navigating OpenAPI / Swagger specifications, enabling agents to search endpoints, retrieve parameters and schemas, and inspect authentication without loading the full spec into context.