"FIRST" matching MCP servers:

MCP server exposing quote and live cryptocurrency price tools, with both local (stdio) and cloud-deployed (HTTP) transports.

Ad-free web scraping and search exposed as 3 MCP tools. fetch_page, fetch_pages_batch, search_web. Works with Claude Desktop, Cursor, Cline.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

The first commercial implementation of HTTP 402 Payment Required for creator content monetization. AI agents pay $0.0025 per content pull from paywalled creator libraries. Creators get paid automatically.

Model Context Protocol server exposing the bankstatementparser library as first-class agent tools for reading bank statements.

Local-first memory for coding agents. Discovers the memory, instructions, and rules Claude Code, Codex, and Cursor already wrote on your machine, combines them into one canonical Markdown tree, and serves grounded, cited recall through tools like ask_memory and canonical_memory.

Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.

Lossless archive and search for AI agent sessions (Claude Code, Codex, opencode, pi and others), exposed to agents over MCP. Local-first, written in Rust.

Enables local-first, verbatim memory retrieval for AI agents, storing notes and text across sessions and retrieving original passages without generative rewriting.

Embedded memory and retrieval engine for AI agents, providing local-first memory with MCP support for multi-agent access control.

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

Cited Q&A and drift detection over your own markdown notes: answers cite exact passages, cited passages are hashed at citation time, and a scheduled verify flags when a source changed under a conclusion already drawn from it. Local-first, zero runtime dependencies (node:sqlite); tools: chamber_ask, chamber_verify, chamber_corpus.

MCP server for lossless YAML 1.2 editing by AI agents. Two tools — noyalib_get (read a value at a dotted/indexed path) and noyalib_set (write a value, preserving comments/formatting byte-for-byte). Pure Rust, streaming-first serde, JSON Schema validation. MIT OR Apache-2.0.

Local-first visual design workspace for AI assistants. Compose wireframes and branded multi-page HTML/CSS documents with live preview, annotations, brand and asset libraries, typed data collections, layout validation, PDF export, and draft-only Gmail handoff.

Agent-first cognitive substrate.

Hand a project over — to your next session, to Cursor/Codex/Gemini, to your successor — with the reasons attached. Local-first memory MCP for coding agents: decisions re-injected before the agent acts, drift detection across every project you run. One SQLite file, nothing leaves your machine.

Vulcanus turns a Git-versioned Markdown vault into structured project memory for coding agents. recall returns a project's capsule plus the read-next list, and warns when the capsule is older than the decisions beneath it. search ranks by layer, so the cheapest sufficient note surfaces first. Writes are scoped: update_capsule replaces one named section instead of rewriting the file, and `app

Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.

Securedact MCP is a local-first privacy layer for MCP-compatible AI workflows. It detects, reviews, redacts, and audits sensitive information before approved sanitized content is used downstream.

Audits spacing, gaps, and element sizes in AI-generated UIs and returns fix hints the agent applies. Tailwind-first, with accessibility fallback.