"Building an MCP tool to connect to Upwork API and retrieve job listings" matching MCP servers:

An MCP server for indexing and searching local text files using late-interaction retrieval (ColBERT-style MaxSim), enabling token-level relevance matching.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

Enables AI assistants to interact with the Upwork freelance marketplace, including job search, proposal management, contract tracking, and earnings monitoring.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Connects AI agents to Upwork's GraphQL API, enabling job discovery, proposal management, profile tracking, and analytics.

Enables Claude to search jobs, manage proposals, messages, and contracts on Upwork via browser automation.

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.

MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.

Enables Claude to translate natural-language business questions into safe, read-only SQL queries by exposing tools for listing tables, inspecting schemas, and executing row-capped SELECT statements against PostgreSQL.

Enables real-time job discovery across multiple job boards and remote APIs, providing normalized and deduplicated job listings to AI agents via MCP.

Enables semantic search across multiple Qdrant vector database collections, supporting multi-query capability and providing semantically relevant document retrieval with configurable result counts.

Demo MCP server that exposes order and customer data as read-only tools for AI assistants, simulating a business API or internal data source.

Provides 12 tools to query South Korean building register data, including title sheets, floor details, and official house prices via the data.go.kr API. It enables users to perform smart building lookups and region code searches using natural language.

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.

Searches job listings from Taiwanese job boards (104 and Yourator) and returns normalized results.

Enables AI agents to search remote job listings, read full descriptions and structured metadata, compare roles, and retrieve original application links when the account's subscription and scopes allow.

Enables searching and managing job postings across multiple job boards through a unified MCP interface, with deduplication and persistent tracking of application statuses.