"Finding a Programmer with MCP Certification" matching MCP servers:

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Enables hybrid search (BM25 + semantic with RRF) over documentation, with Thai language support. It exposes MCP tools for adding documents and searching via Qdrant and Ollama/OpenAI, using a stateless Streamable HTTP transport.

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

Provides access to developer roadmap content from roadmap.sh, allowing users to list available roadmaps and fetch detailed Markdown content for specific career paths.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Enables AI assistants to interact with OpenAPI documents for analysis, validation, and management through structured interfaces.

MCP server that enables introspection of any MCP server's registered tools by exposing mcpreg/list, mcpreg/get, and mcpreg/query tools, making tool registry accessible even when the underlying SDK lacks list_tools().

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

MCP server over the open index of 1,562 certification exam blueprints across 217 certifying bodies. Search exams, pull full blueprints (domains & weights, passing scores, prerequisites, renewal), and compare certifications. Read-only, public data, no API key.

Connects AI assistants to a ~960,000-product electronics catalog across 955 categories, enabling keyword and parametric-filter search, stock and price lookups, substitute finding, BOM cost checking, and datasheet download/reading. Runs locally and requires no API key, membership, or fee.

Enables investigating issues and finding answers on a NodeBB forum by searching its history, extracting existing answers, and identifying unanswered questions, with optional plugin integrations for sharper results.

Enables searching and reading OCI documentation using the Oracle Help Center Search API. Provides tools for finding relevant documentation URLs and reading page content.

Provides offline search and retrieval of Magento 2 GraphQL API documentation with 8 specialized tools for finding queries, mutations, types, tutorials, and code examples across 350+ locally indexed markdown files.

Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.

Provides AI assistants with accurate Flyte V2 knowledge, patterns, and plugin information to help developers write correct Flyte code. It enables tasks like learning the V2 API, finding examples, selecting plugins, and migrating V1 code to V2.

Cited cloud best practices and a rules-based review of Terraform, CloudFormation, and Kubernetes, answering with the provider's own sentence and link. Runs locally and calls no AI model; a free work-email key opens every finding.

MCP server for searching and querying Aalto SciComp documentation (Triton HPC guides). Provides tools for finding pages, reading docs, and searching content, usable by any MCP client without an LLM API key.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables AI assistants to interact with Dev Proxy for creating configurations, finding documentation, and discovering best practices via the MCP standard.

Enables coding agents to build UI from a chosen React component kit by finding components by intent, reading their exact props, following composition recipes, and validating the result against the kit's real types. Kit-specific knowledge lives in swappable adapters, so the same tools work with any React kit, with Ant Design supported out of the box.

Enables AI IDEs to analyze Confluence Server 6.x page hierarchies, including finding pages, listing subtrees, and fetching page or subtree content as text/HTML.

Enables AI agents to build Power Automate Desktop flows by looking up actions, checking parameter types, and finding code examples for Classic and Power Fx flows so generated code can be pasted into the flow designer.

Enables AI assistants to access up-to-date gematik TI specifications, requirements, and certification scopes, including version comparisons and diffs.

A template repository for developing Model Context Protocol (MCP) servers with devcontainer setup and curated learning resources.

Exposes a read-only virtual filesystem over MCP so agents can explore documentation with real shell commands (ls, cat, grep, head, sed) answered from a vector store rather than a disk or sandbox. It also provides a hybrid dense-vector plus BM25 search tool for finding where to look first, with page access governed by group rules.

Enables local, read-only search and ranking of SKILL.md files through stdio tools for finding, outlining, and reading sections of indexed skills, with no network, LLM, embeddings, or API keys.