MCP

Lets agents inspect containers, images, compose projects, and logs through Docker’s MCP integration—so debugging local stacks does not require copy-pasting docker ps output into chat.

Lets assistants run explain plans, inspect collections, and draft aggregation pipelines against MongoDB clusters you authorize—useful when debugging document models and slow queries without pasting dumps by hand.

Exposes scoped Redis commands and key introspection so agents can debug caches, feature flags, and session stores without dumping entire databases into the prompt.

Keeps engineering context in sync by letting agents read and mutate Linear issues while staying inside the editor or chat surface.

Exposes Jira, Confluence, and Compass knowledge through Atlassian’s hosted MCP so roadmap and documentation stay authoritative for enterprise assistants.

Brings Tavily’s real-time search and structured snippets into MCP clients so agents can cite fresh web evidence instead of relying on stale training cutoffs.

Connects to Supabase projects over a remote MCP endpoint so agents can inspect tables, debug edge functions, and align types with live backends.

Hands remote browser sessions to MCP-capable clients for navigation, DOM interaction, and scripted flows without running a local Chrome profile.

Turns existing Make scenarios into callable MCP tools, bridging no-code automations with conversational agents in ChatGPT-class clients.

Exposes a sandboxed view of local files and folders so models can read code, configs, and notes with explicit path permissions instead of blind paste-ins.

Lets assistants fetch invoices, payouts, and merchant reports through PayPal’s MCP integration—useful for finance ops copilots with strict auditing needs.

Lets assistants run read-biased SQL, inspect schemas, and debug data issues against Postgres instances you explicitly connect—ideal for analytics and on-call triage.

Centralizes Cloudflare controls—DNS, Workers, R2, and security settings—behind one remote MCP so infra questions get API-accurate answers.

Connects Notion databases and pages to AI agents so meeting notes, specs, and task boards stay synchronized without copy-paste between tools.

Surfaces repositories, issues, pull requests, and search so agents can draft reviews, summarize diffs, and navigate large orgs with API-backed context.

Lets models query Slack history with workspace policies in mind—useful for standup summaries, incident timelines, and “what did we decide?” threads.

Adds cloud file search and retrieval so assistants can pull PDFs, decks, and spreadsheets that live in Drive instead of only local disk.

Brings GitLab projects, merge requests, and CI signals into the IDE so agents can reason about pipelines and approvals alongside code changes.

Offers lightweight SQL access for local SQLite files—handy for app sandboxes, analytics prototypes, and embedded datasets without standing up Postgres.

Uses Microsoft Playwright to drive real browsers for automation, accessibility snapshots, and repeatable UI checks from within MCP clients.

Routes queries through Brave Search APIs for privacy-conscious retrieval and snippet grounding when building research or compliance-sensitive assistants.