"Interaction or Feedback Enhancement to Increase Frequency/Attempts" matching MCP servers:

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables querying of Chinese-Western medicine interactions with comprehensive drug information, risk assessment, and clinical recommendations. Supports searching medicines, checking interactions individually or in batches, and provides safety guidance with severity classifications.

Enables triaging product feedback over a local dataset, including search, theme clustering, severity tagging, and drafting PRD-ready problem statements.

Enables Claude to collect and search for product feedback directly from Slack workspaces. It provides tools for pulling stakeholder messages with date filtering, retrieving full conversation threads, and searching feedback by keywords.

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.

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.

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.

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.

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.

Enables users to discover jobs by target titles and countries, rank job descriptions by skill coverage across all imported resumes, generate tailored ATS-ready resumes and cover letters, and fill and submit requested application batches through a signed-in AI host with browser access.

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.

A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.

Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.

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

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

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.

Enables clients to look up dress-code meanings, generate five-piece outfit formulas for an occasion and weather, explore tested clothing colour combinations, and find relevant style guides through a free read-only MCP endpoint.

Web search, crawling and ranking evaluation on your own YaCy peer: no API key, no central service. Results carry author-signature verdicts and declared tags.

Enables lookup of licensed US real estate agents on official state license registers by license number or name, returning the brokerage of record along with its active agent count, size band, and the agent's license status and expiry. It also lists every active agent at a given brokerage or every brokerage office in a zip code across 19 states.

A lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.

Enables querying SINTEGRA TO (state tax information) through a read-only MCP server, using natural language.

An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.

Enables natural language querying of Apache Iceberg lakehouse by exposing typed tools for namespace discovery, table metadata inspection, snapshot history, time travel SQL generation, and partition pruning explanation.

Enables natural language queries to official dental council registration data in Tocantins, Brazil. Read-only, hosted, and works with any MCP client.

Enables interaction with the dev.to platform through its public API. Allows users to retrieve articles, user profiles, tags, comments, and perform article searches without requiring authentication.

Read-only MCP server for querying SEFAZ Tocantins (SEFAZ TO) NFC-e (electronic consumer invoice) data from official government sources via natural language, working with any MCP-compatible client such as Claude, Cursor, VS Code, and more.

Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.

MCP server for XMLRiver enabling Google and Yandex SERP parsing, Yandex Wordstat keyword frequency, indexing checks, and account operations.

Provides tools to search, list, and retrieve Python Enhancement Proposals (PEPs) directly from official sources like peps.python.org. It enables users to query active PEP titles and fetch document content or focused excerpts through natural language.