About plith
AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://plith.ai/api/mcpclaude mcp add --transport http ai-plith-plith https://plith.ai/api/mcp{"mcpServers":{"ai-plith-plith":{"type":"http","url":"https://plith.ai/api/mcp"}}}Open in Cursor{"servers":{"ai-plith-plith":{"type":"http","url":"https://plith.ai/api/mcp"}}}Open in VS Code{"mcpServers":{"ai-plith-plith":{"type":"http","url":"https://plith.ai/api/mcp"}}}{"mcpServers":{"ai-plith-plith":{"serverUrl":"https://plith.ai/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
15| Parameter | Type | Required | Description |
|---|---|---|---|
| content | string | Yes | The task content to check for duplicates. This is hashed and embedded for matching. |
| task_id | string | No | Optional caller task ID for tracing and cross-referencing with BurnRate. |
| hash_only | boolean | No | If true, skip vector similarity search and use exact hash matching only. Default: false. |
| similarity_threshold | number | No | Cosine similarity threshold for semantic matching, 0.0 to 1.0. Default: 0.80. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.