"SQLite" matching MCP servers:

Enables AI agents to explore and query SQLite databases through read-only, sandboxed tools for listing tables, describing schemas, fetching DDL, and running a single capped SELECT statement. Also supports plain-English questions that are converted to SQL and routed through the same sandbox.

Enables AI agents to store, search, update, and manage local long-term memories with namespaces, tags, expiration, and audit trails, without requiring cloud accounts, API keys, or network access.

Five-layer agent memory over MCP. zenbrain_store routes each memory: steps to a procedure, emotional weight to an episode, high confidence to a pinned core memory, the rest to a semantic fact. zenbrain_recall returns results with id and layer; zenbrain_forget deletes one plus what consolidation linked to it; zenbrain_consolidate runs one sleep-like pass. Local SQLite, no account, no network call.

Carbon-aware MCP scheduler that defers "do it later" / "by tomorrow" / "overnight" LLM tasks to the cleanest electricity-grid hour inside a deadline — 40-70% lower CO2 per task, 50% cheaper via Anthropic/OpenAI Batch APIs. 9 MCP tools, per-task carbon receipts to local SQLite, Apache-2.0.

Enables finding TikTok and YouTube micro-KOLs, classifying their niches, scoring campaign fit with Jev, and drafting outreach emails, with results cached locally in SQLite.

Enables file operations, document metadata extraction, folder analysis, local-LLM queries, and SQLite CRUD as MCP tools, individually or composed into pipelines via run_pipeline.

An MCP server that coordinates Mistral API calls across multiple processes/clients using a shared SQLite queue, enforcing automatic rate limiting and priority-based queuing.

A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen, DeepSeek) alongside Anthropic and OpenAI.

YourMemory is an MCP server that uses biological forgetting curves to automatically prune stale data and reinforce useful context for Claude agents. It beats Mem0 by 16% on benchmarks and runs fully locally with zero LLM overhead via spaCy and SQLite.

Persistent, local-first graph memory for AI coding agents. Provides durable cross-session memory via a local SQLite knowledge graph with typed relationships.

Persistent memory MCP server for AI agents, using SQLite with hybrid keyword and semantic search for long-term memory storage.

Enables scraping and comparing LLM inference pricing from multiple providers using Firecrawl, storing results in SQLite for analysis.

Exposes a local inference ledger over MCP stdio, letting agents query request counts, token usage, TTFT, energy consumption, local costs, cloud-equivalent costs, savings percentages, and per-model breakdowns from an OpenAI-compatible proxy's SQLite ledger. Provides four read-only tools so coding agents can answer questions about home GPU inference economics without opening a browser.

MCP server providing virtual memory for AI context with durable SQLite storage, retrieval, and bounded prompt assembly to manage context windows.

Enables durable, evidence-backed deliberation and Decision CI by running multi-stage model protocols with detached worker processes, persistent jobs, and SQLite-stored decisions, evidence, outcomes, and quality metrics.

Enables reusable role-based agents, solo execution, and bounded multi-agent discussions with independent proposals, peer critiques, judge consensus, revision rounds, token budgeting, and SQLite audit logging.

A local-first MCP server that provides safe, governed read-only SQL access to SQLite and PostgreSQL, with validation, limits, task tracking, and report generation.

Local-first memory firewall and MCP server for AI agents. Audrey provides recall, memory capsules, preflight checks, reflexes, validation, tool-trace learning, contradiction handling, and SQLite/sqlite-vec storage.

Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.

Enables importing AI provider usage CSVs or syncing OpenRouter/OpenAI costs into a local SQLite ledger, then querying spend, budgets, and invoice-style summaries via MCP tools.