Enables AI agents to make policy-scoped payments with spending caps, recipient allowlists, approval thresholds, instant revocation, and an append-only audit trail in a sandbox wallet.

Enables agents to analyze OpenAPI contracts for deterministic integration risks, plan auth, sync, action, and webhook candidates, and diff contract versions for likely breaking changes through read-only tools.

This MCP server enables agents to administer a self-hosted AI control plane for users, organizations, subscriptions, API keys, model providers, and service health, with local-first model routing and cloud failover.

Enables agents to reach pump.fun's full API surface — official developer routes, bonding-curve reads, Solana RPC, and unsigned trade building — by writing JavaScript against one merged OpenAPI document, using just two tools (search and execute). Model-authored code runs in a network-less sandbox, so multi-step questions resolve in a single round trip while credentials stay on the host Worker.

Embeds a runtime MCP inspector in a NestJS app so coding agents can inspect the module and provider graph, routes and their guards/interceptors/pipes/filters, logs, request traces, event listeners, and scheduled jobs through an HTTP endpoint.

Keeps large tool outputs out of an agent's context window by spilling them to disk and handing back a short pointer instead. Lets the agent pull only what it needs — exact numbered line ranges read directly from disk, or verbatim relevant lines returned by a small model answering a question about the stored output, plus tools to open, list, and close documents.

Enables AI agents to query Korean public data from OpenDART, data.go.kr and law.go.kr — corporate filings and financials, stock prices, apartment trades, business registration status, holidays, statutes in force on a given date, and court rulings. It corrects the live APIs' known traps (mislabeled periods, not-yet-in-force laws, cancelled trades, changed district codes) so answers come back right, with evidence.

Lets any MCP-capable AI agent call a hosted EdgePress site's REST API to browse and manage CMS content or store data, using a personal access token whose role and read-only flag decide what the agent can do. Supports Streamable HTTP at /api/mcp or local stdio via npx, with an OpenAPI spec lookup tool for discovering routes and request bodies.

Enables AI assistants and autonomous agents to connect to social media accounts and manage, generate, schedule, upload media for, and publish content across Facebook Pages, YouTube, TikTok, Instagram, and X, plus maintain a content pipeline.

Enables AI agents to manage the entire Contabo API, including VPS/VDS instances, snapshots, images, object storage, private networks, firewalls, DNS, domains, secrets, users, and tags, through one tool per API operation.

Enables AI agents to reach enterprise apps such as Jira, Microsoft 365, Salesforce, FedEx and Dell TechDirect, or your own REST APIs, through a single self-hosted MCP endpoint. Each agent gets its own key with per-app, per-value grants and a confirmation step for deletes, so calls are scoped and audited without exposing app credentials.

Enables AI agents to store and retrieve persistent memory across sessions and machines, and to pay any x402 API while keeping a signed, offline-verifiable ledger of purchases and spending.

Mounts a headless, low-memory browser for agents with a text-first tool interface, enabling navigation, semantic tree/markdown extraction, structured-data scraping, screenshots, form interaction, and session capture. Reads and interactions are returned as semantic trees, markdown, or CSS-selector JSON rather than pixels, which is cheaper for a model to reason over.

Enables AI agents to open URLs in a persistent headless browser and interact with pages by clicking, typing, selecting, reading content, evaluating JavaScript, waiting for elements, and capturing screenshots.

Exposes a federated, typed knowledge graph to AI clients, letting agents traverse nodes and relationships while scope-based access rights are checked on every hop and provenance is tracked for each fact. This keeps shared knowledge consistent across teams while keeping private and team-scoped content out of reach of unauthorized consumers.

Enables MCP-capable AI agents to invoke 38 deterministic, private, auditable compute tools over stdio, covering PII masking, finance schedules, health, text, units, media, business, gaming, and scheduling without network access or dependencies.

Enables agents to run neural web searches, gather token-budgeted code context and documentation excerpts, and crawl individual pages through the Exa API.

Enables agents to query the Brave Search API across web, local, news, image, and video indexes through five MCP tools, returning consistent result details.

Enables agents to look up a library's Context7-compatible ID and fetch its current, version-specific documentation and code examples, optionally focused on a topic and capped at a chosen token budget.

Enables agents to list indices, read mappings, run query DSL and ES|QL searches, and inspect shards on an Elasticsearch cluster through its HTTP API.

Enables agents and terminal users to browse MongoDB databases and collections, run queries and aggregation pipelines, modify documents, manage indexes and collections, inspect statistics and logs, and explain query plans.

This MCP server enables AI agents and teams to coordinate through shared inboxes, threaded conversations, attachments, expiring file reservations, prompts, and live notifications, while replaying missed events after restarts.

Enables AI agents to execute commands and read files or directories on pre-registered, fingerprint-verified SSH hosts by alias or IP, while keeping encrypted passwords local and inaccessible to the agent.

Enables AI agents to import and refresh product feeds, edit products, write rules, run optimization and audits, connect ad channels, set performance labels, and create product ad creatives.