"Using Logseq data as context for chat applications" matching MCP servers:

An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.

MCP server for publishing AI agent conversations as public links with optional password protection and expiration, also providing tools to revoke shared chats and retrieve link metadata.

An MCP server that keeps raw tool output out of the context window by sandboxing and compressing results (about 98% reduction), persisting file edits, git operations, tasks and decisions in SQLite with BM25 retrieval so the agent resumes after compaction, and enforcing routing across 17 platforms via MCP and hooks. It also encourages the model to write scripts that compute answers and log only results instead of reading large data into context.

Enables local read-only access to TheRundown Product API data including sports, affiliates, market definitions, events, futures, and open main lines using your own API key.

Connect any AI to PostgreSQL, MySQL, or SQL Server — 24 dialect-aware tools for query, schema, optimization, and more.

A context window optimizer and session rotator MCP server for agentic workflows that prevents LLMs from running out of context by compacting chat history and rotating sessions.

Enables chatting with an AI waifu character through MCP tools, with user management and dialog history.

Enables AI agents to browse, trade, and create prediction markets on Context Markets. Supports wallet management, order placement, and market creation through MCP tools.

A local MCP server that acts as a policy-based firewall for personal context, letting users control agent access to their data with deny-by-default rules, per-field grants, and an audit trail.

Enables searching and querying Winnipeg Open Data datasets through natural language or SoQL, with tools for datasets, metadata, and row-level data.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

A Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).

MCP server for Crypto APIs Block Data product. Get block details by height or hash for EVM, UTXO, and XRP blockchains.

Enables access to Hong Kong government's official open data portal (DATA.GOV.HK) through natural language queries. Supports searching datasets, browsing categories, and retrieving detailed information about Hong Kong's public data resources.

Enables AI assistants to access AnChain.AI blockchain intelligence APIs for risk assessment, sanctions screening, and transaction analysis on blockchain addresses and transactions.

An MCP server that gives Claude deep access to US public data -- demographics, economics, crime, employment, weather, housing, transit, schools, budgets, and more across 30+ cities for government intelligence workflows.

Client-side MCP wrapper for Orisha Data's public x402 endpoints, providing free preview tools and paid market data access via x402 payments.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

Access to many public datasets right from your LLM application.