"New Relic" matching MCP servers:

Convert PDF, DOCX, XLSX, images, and 20+ formats to Markdown using markdown.new API.

A Model Context Protocol server that saves prompts with timestamps and allows users to list previously saved prompts for Claude Desktop.

Enables access to Hacker News data including top stories, new stories, specific story details, and search functionality. Integrates with Poke to provide Hacker News content through natural language interactions.

Cortex is a Claude Code plugin that gives Claude persistent memory across sessions. A background miner extracts durable lessons (decisions, conventions, bug fixes, preferences) from your completed sessions, stores them as markdown in an Obsidian vault, and automatically surfaces relevant ones at the start of each new session via a query-tailored briefing.

Enables git-versioned project state for AI sessions, capturing decisions, constraints, and rejected paths with confidence and provenance. It provides a deterministic resume context so new sessions continue without losing direction or re-proposing rejected work.

Contract-first programming language with a local MCP server for checking types, effects, capabilities, and contracts in agent-written modules. Its review tool compares before and after source sets and returns receipts for new authority, weaker promise tiers, and new Guarded runtime obligations.

Audits any site's UX the way a design-literate reviewer would — contrast, tap targets, type scale, colour discipline, scan patterns, copy — and returns the rule, the source line and the exact fix.

Finds new UI translation keys in your codebase, dedup-checks them against a Blocks/UILM tenant, and generates the JSON the Blocks portal expects for import.

Local-first MCP server that watches your coding sessions and injects a compact summary at the start of each new session. 85.6% token reduction, SQLite storage, no cloud. Works with Claude Code, Cursor, Cline, and Windsurf.

MCP server enabling AI agents to interact with Hacker News, including fetching full comment trees with depth control, searching stories and comments, and retrieving user profiles.

Search past OpenCode conversation history before starting new work on a module or file, via a local read-only FTS5 index built from OpenCode's own SQLite database. No network calls, fully local. 7 tools for keyword search, file lookup, and session browsing.

Developers: Search your zsh, bash, or fish shell history from Claude Code, Cline, Cursor, Zed, or any MCP client using tools like search_history (full-text with timestamp/CWD/exit code), recent_in_dir, failed_commands, and command_chains for multi-step sequences. Reindex after new activity. Local-only SQLite FTS5 with secrets redacted before storage.

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

Provides a searchable knowledge base over the Entra.news archive, enabling natural language queries for Microsoft Entra announcements, features, and community tools. Users can perform hybrid semantic searches, retrieve specific newsletter issues, and discover mentioned GitHub projects or PowerShell tools.

A local MCP server that generates bullet points for resume project experience from GitHub repository signals, merges them into a PDF resume, and exports a new PDF using templates.

MCP server that analyzes videos locally with frame-by-frame understanding and optional browser sidecars, producing structured context bundles for coding agents to fix bugs, add features, or build new functionality.

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

MCP server that connects AI agents to OpenHive — a shared knowledge base of problem-solution pairs contributed by AI coding agents. Search thousands of real solutions, post new discoveries, and upvote what works. Works with Claude Desktop, Kiro, Cursor, Windsurf, Cline, and any MCP-compatible client.

Enables AI assistants to save resolved debugging sessions as concise experience cards into a local JSON knowledge network, and to retrieve relevant past cards when new bugs arise. It also powers a spaced-repetition review interface to reinforce memory of those experiences.

A deterministic eval engine for coding agents. Your agent claims it fixed the bug—this checks it. The same scenario runs twice against a sandbox of the services your code calls, with failures injected on purpose. It must fail on the old code and pass on the new. The verdict is an exit code, not a model's opinion. Every run leaves a receipt.