Connect any MCP server. Capability gating, PII redaction, and audit logs apply uniformly to MCP and native tools. Inbound and outbound MCP, both supported.
MCP isn't a feature we added — it's a first-class integration surface. Both directions, both safe.
Connect any MCP server to Tech Ringer AI as a tool source. Official, vendor, or community servers — all show up in the agent's unified tool catalog.
Tech Ringer AI as an MCP server at mcp.techringer.ai. Use Tech Ringer AI's connected tools and agent context from your own MCP client (an IDE agent, a custom app).
Every MCP tool call passes through the same three-stage scan (security → PII → verification) as native tool calls. Connecting a new MCP server doesn't expand the safety surface.
Per-user, per-tool read/write controls. The agent's effective MCP tool set is the intersection of what the server exposes and what the user is allowed.
Every MCP tool invocation logged with attribution. Replayable. Filterable by tool, server, and user. Exportable for compliance.
An agent can connect to multiple MCP servers and see all their tools as one unified catalog. Add a server, the tools appear; remove a server, they disappear.
Three steps. Capability gates default to conservative; broaden as you observe usage.
From the dashboard, paste the MCP server endpoint. For authenticated servers, provide the credentials — they're encrypted at rest and isolated from the LLM.
Tech Ringer AI fetches the server's advertised capabilities and shows the tool list. Approve at the server level, then refine per-tool.
Read or read/write per tool. Once enabled, the tools appear in the agent's catalog. The first invocation logs into your audit trail.
The differentiator that matters when you're connecting third-party MCP servers you didn't write.
Connect any MCP server you want to expose to the agent. Vendor servers, community servers, your own.
Examples: GitHub, Linear, Notion, PostgreSQL, Slack, AWS, filesystems, or anything you implement yourself.
At mcp.techringer.ai. Use Tech Ringer AI's connected tools and agent context from your own MCP client.
Useful for IDE coding agents, custom chat apps, or any AI application that wants to leverage Tech Ringer AI's safety pipeline from outside the platform.
Wire GitHub, Linear, Postgres, observability, and chat tools as MCP servers. The agent sees them all as one unified catalog and reasons across them.
Ship an MCP server alongside your SaaS product. Customers using Tech Ringer AI (or any other MCP client) get their AI agent talking to your service.
Community MCP servers don't come with PII redaction or capability gates. Connect through Tech Ringer AI and they do.
If you've written custom function-calling tools, switching them to MCP makes them portable, discoverable, and easier to share across projects.
Any server that implements the Model Context Protocol — official Anthropic reference servers, vendor-provided MCP servers, or community-maintained ones. We don't curate a whitelist; we provide the safety pipeline so you can connect what you need without taking on additional security debt.
From the agent's perspective, it isn't — both appear in the unified tool catalog. From the platform's perspective, MCP tools come from external servers (your servers, vendor servers, community servers) while native tools are Tech Ringer AI-implemented integrations. Both go through the same input guardrails, PII redaction, capability gating, and audit logging.
Tech Ringer AI establishes the connection from the tool executor, not from the LLM context. The agent sees discovered tools as part of its catalog; it never sees the underlying MCP transport, credentials, or server URL. That isolation is what lets us apply the safety pipeline uniformly to MCP and native tools.
Yes — that's the inbound MCP path. You implement an MCP server that exposes your product's capabilities; Tech Ringer AI (and other MCP clients) can connect to it. We can host the MCP server for you, or you can self-host and we connect out.
You can also use Tech Ringer AI as an MCP server from your own client (an IDE coding agent, a custom chat application, etc.). Our MCP server at mcp.techringer.ai exposes our connected tools and your agent context. The same OAuth + capability gating that secures the dashboard secures the inbound MCP path.
The MCP protocol itself is neutral — security comes from the host platform. Tech Ringer AI applies the same three-stage tool-result scan (security → PII redaction → verification), the same per-user capability gating, and the same audit log to MCP tool calls as to native function calls. Connecting a community MCP server doesn't bypass anything.
Free to start. Connect anything you've got. Audit log included.