tftsr-devops_investigation/docs/wiki/MCP-Servers.md

MCP Servers

Overview

Model Context Protocol (MCP) is an open standard that allows AI models to invoke external tools and access external resources through a standardised JSON-RPC interface. TFTSR integrates MCP as a first-class feature, enabling the AI triage assistant to call tools exposed by any compliant MCP server — file search, database queries, monitoring APIs, runbook automation, and more.

MCP support extends the AI's capabilities beyond conversation: during incident triage, the model can autonomously invoke registered tools to gather diagnostic data, check system status, or execute remediation steps — all within the app's security and audit framework.

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Architecture

┌──────────────────────────────────────────────┐
│  TFTSR App                                   │
│                                              │
│  ┌────────┐   ┌──────────┐   ┌───────────┐  │
│  │Frontend│──▶│ Commands │──▶│  Store    │  │
│  │  React │   │(IPC/Tauri)│   │ (SQLite)  │  │
│  └────────┘   └────┬─────┘   └───────────┘  │
│                    │                         │
│              ┌─────▼─────┐                   │
│              │ Discovery │                   │
│              └─────┬─────┘                   │
│                    │                         │
│       ┌────────────┼────────────┐            │
│       │            │            │            │
│  ┌────▼────┐  ┌────▼────┐  ┌───▼────┐       │
│  │  stdio  │  │  HTTP   │  │Adapter │       │
│  │Transport│  │Transport│  │(AI glue)│       │
│  └────┬────┘  └────┬────┘  └────────┘       │
└───────┼─────────────┼────────────────────────┘
        │             │
        ▼             ▼
  Local process   Remote HTTP
  (e.g. npx)     MCP endpoint

Module layout (src-tauri/src/mcp/):

File	Responsibility
models.rs	Struct definitions: McpServer, McpTool, McpResource, request types
store.rs	CRUD operations against SQLite (encrypted at rest)
transport/stdio.rs	Stdio process spawn via rmcp (absolute path enforced)
transport/http.rs	Streamable HTTP transport via rmcp
client.rs	Connection lifecycle, tool listing, tool invocation
adapter.rs	Name sanitisation, McpTool → AI Tool conversion
discovery.rs	Per-server and bulk startup discovery orchestration
commands.rs	8 Tauri IPC command handlers

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Database Schema

Three tables are created by Migration 018 (018_mcp_servers):

mcp_servers

Column	Type	Constraints
id	TEXT	PRIMARY KEY
name	TEXT	NOT NULL
url	TEXT	NOT NULL
transport_type	TEXT	NOT NULL, CHECK IN ('stdio', 'http')
transport_config	TEXT	NOT NULL DEFAULT '{}' (JSON)
auth_type	TEXT	NOT NULL, CHECK IN ('none', 'api_key', 'bearer', 'oauth2')
auth_value	TEXT	Nullable — AES-256-GCM encrypted
enabled	INTEGER	NOT NULL DEFAULT 1
last_discovered_at	TEXT	Nullable UTC timestamp
discovery_status	TEXT	NOT NULL DEFAULT 'pending', CHECK IN ('pending', 'connected', 'unreachable', 'error')
discovery_error	TEXT	Nullable
created_at	TEXT	NOT NULL DEFAULT datetime('now')
updated_at	TEXT	NOT NULL DEFAULT datetime('now')

mcp_tools

Column	Type	Constraints
id	TEXT	PRIMARY KEY
server_id	TEXT	NOT NULL, FK → mcp_servers(id) ON DELETE CASCADE
name	TEXT	NOT NULL (original tool name from server)
tool_key	TEXT	NOT NULL (sanitised key used by AI)
description	TEXT	Nullable
parameters	TEXT	NOT NULL DEFAULT '{}' (JSON Schema)

mcp_resources

Column	Type	Constraints
id	TEXT	PRIMARY KEY
server_id	TEXT	NOT NULL, FK → mcp_servers(id) ON DELETE CASCADE
uri	TEXT	NOT NULL
name	TEXT	Nullable
description	TEXT	Nullable

Cascade deletes ensure that removing a server automatically cleans up its tools and resources.

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Transport Types

stdio

The app spawns a local process and communicates over its stdin/stdout using the MCP JSON-RPC protocol.

Configuration (transport_config JSON):

{
  "command": "/usr/local/bin/my-mcp-server",
  "args": ["--port", "0", "--mode", "stdio"]
}

• command — must be an absolute path. Relative paths are rejected to prevent path traversal attacks.
• args — optional array of command-line arguments.

The process is spawned via Tokio and wrapped with rmcp::transport::TokioChildProcess.

http (Streamable HTTP)

The app connects to a remote MCP server over HTTP(S) using the Streamable HTTP transport from rmcp.

Configuration:

• url field on the server record — the HTTP endpoint (e.g., https://mcp.example.com/v1).
• If auth_type is bearer or api_key, the decrypted auth value is attached as an Authorization header.

{
  "url": "https://mcp.example.com/v1",
  "transport_type": "http",
  "auth_type": "bearer"
}

The transport_config field for HTTP servers is typically {} — connection details come from url and auth_value.

---

Authentication Types

Type	Description	Storage
none	No authentication required	—
api_key	API key sent as Authorization header	Encrypted in auth_value
bearer	Bearer token sent as Authorization header	Encrypted in auth_value
oauth2	OAuth2 PKCE flow via WebView	Token encrypted in auth_value after exchange

All auth values are encrypted with AES-256-GCM before storage (same encryption system as integration credentials). The plaintext is never returned to the frontend — list_mcp_servers strips auth_value from responses.

OAuth2 Flow

For servers requiring OAuth2:

1. transport_config must include auth_endpoint, token_endpoint, client_id, and optionally scope.
2. Call initiate_mcp_oauth(server_id) — opens a WebView window at the authorization URL.
3. User authenticates with the MCP provider.
4. On redirect, the code is exchanged for an access token.
5. Token is encrypted and stored in auth_value.

---

Configuration Guide

Adding an MCP Server (UI)

Navigate to Settings > MCP Servers (/settings/mcp) to manage servers.

1. Click Add Server.
2. Fill in:
   • Name — Human-readable label (e.g., "Weather API", "Filesystem Tools").
   • URL — For HTTP: the server endpoint. For stdio: can be left as the command path for display.
   • Transport — stdio or http.
   • Transport Config — JSON. For stdio: {"command": "/path/to/binary", "args": [...]}. For HTTP: typically {}.
   • Auth Type — none, api_key, bearer, or oauth2.
   • Auth Value — The token/key (will be encrypted on save). Leave blank for none.
   • Enabled — Toggle on/off.
3. Click Save. The server record is persisted.
4. Click Discover to connect and enumerate available tools and resources.

Discovery

Discovery connects to the server, queries its tool and resource manifests, and persists them locally. Status transitions:

pending → connected     (success)
pending → error         (connection/protocol failure)
pending → unreachable   (startup failure, non-fatal)

After successful discovery, tools from the server appear in AI conversations automatically.

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Tool Naming Convention

When tools are discovered, each gets a tool key used by the AI model:

mcp_{server_name}_{tool_name}

Both parts are sanitised:

• Lowercased
• Non-alphanumeric characters replaced with _
• Consecutive underscores collapsed
• Leading/trailing underscores trimmed

Examples:

Server Name	Tool Name	Tool Key
My Weather API	get_forecast	mcp_my_weather_api_get_forecast
Filesystem	search files	mcp_filesystem_search_files
simple	ping	mcp_simple_ping

The AI model calls tools by their tool_key. The adapter layer resolves this back to the original server and tool name for execution.

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Startup Discovery

On application launch, init_all_servers() iterates all enabled servers and attempts discovery for each:

• Successful connections are stored in AppState.mcp_connections (a HashMap<String, Arc<TokioMutex<McpConnection>>>>).
• Failed connections are marked as unreachable in the database with the error message. A warning is logged, but startup continues.
• This is a best-effort, non-blocking operation — the app launches regardless of MCP server availability.

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AI Integration

Enabled MCP tools are automatically injected into AI conversations:

1. get_enabled_mcp_tools() queries tools from servers that are both enabled = 1 and discovery_status = 'connected'.
2. Each McpTool is converted to an AI Tool definition (name, description, JSON Schema parameters).
3. When the AI responds with a tool call matching an mcp_* key, the adapter routes it to call_tool() on the appropriate live connection.
4. The tool result is fed back to the AI as a tool response message.

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IPC Commands

Command	Parameters	Returns
list_mcp_servers	—	McpServer[] (auth_value always null)
create_mcp_server	CreateMcpServerRequest	McpServer
update_mcp_server	id, UpdateMcpServerRequest	McpServer
delete_mcp_server	id	void
toggle_mcp_server	id, enabled	void
discover_mcp_server	id	McpServerStatus
get_mcp_server_status	id	McpServerStatus
initiate_mcp_oauth	id	void (opens WebView)

See IPC Commands for full type signatures.

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Security

• Encrypted auth values — AES-256-GCM, same key derivation as integration credentials (TFTSR_ENCRYPTION_KEY)
• Server-side scrubbing — auth_value set to None before any response to the frontend
• Audit logging — write_audit_event called before every MCP tool execution
• PII scan — Tool call arguments are scanned for PII patterns (non-blocking warning to user)
• Absolute path enforcement — stdio transport rejects relative paths to prevent traversal attacks
• Cascade deletes — Removing a server removes all associated tools and resources
• TLS — HTTP transport uses reqwest with certificate verification for HTTPS endpoints

See Security Model for the full threat analysis.