MCP server for Cognigy.AI - 132 tools to build, configure & operate conversational AI agents
Connect Cognigy to Claude, Cursor or any other MCP client and it stops being a tab you switch to. MCP server for Cognigy.AI - 132 tools to build, configure & operate conversational AI agents. The cognigy mcp server is what makes that connection.
Instead of clicking through the Cognigy UI, you can now: - Create and manage flows, nodes, and intents via natural language - Run NLU training and regression tests automatically - Deploy snapshots and packages across environments - Configure LLMs, Knowledge AI, and integrations
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Category — ToolsNodes — 9Endpoints — 2Sessions — 2Conversations — 3Snapshots — 9Packages — 7Connections — 5LLMs — 7Functions — 9Extensions — 6Analytics — 4@cognigy/rest-api-client on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Configuration is passed through the environment: COGNIGY_BASE_URL, COGNIGY_API_KEY, COGNIGY_DEFAULT_PROJECT_ID. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Cognigy's toolset — Category, Nodes, Endpoints and 11 more — is a fair guide to whether it matches your workflow. It is maintained by TsvetanG2; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Category | Tools |
| Nodes | 9 |
| Endpoints | 2 |
| Sessions | 2 |
| Conversations | 3 |
| Snapshots | 9 |
| Packages | 7 |
| Connections | 5 |
| LLMs | 7 |
| Functions | 9 |
| Extensions | 6 |
| Analytics | 4 |
| Audit | 2 |
| Handover | 7 |
{
"mcpServers": {
"cognigy-ai-mcp-management-server": {
"command": "npx",
"args": ["-y", "@cognigy/rest-api-client"],
"env": {
"COGNIGY_BASE_URL": "your-value",
"COGNIGY_API_KEY": "your-value",
"COGNIGY_DEFAULT_PROJECT_ID": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| COGNIGY_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| COGNIGY_API_KEY | Credential the server authenticates with. | Yes |
| COGNIGY_DEFAULT_PROJECT_ID | Configuration value read at startup. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.