Documentation Index
Fetch the complete documentation index at: https://docs.oneperfectslice.ai/llms.txt
Use this file to discover all available pages before exploring further.
Set up your client
Install takes under 2 minutes. Pick your client:Claude Code
One CLI command. Best for developers in the terminal.
Claude Desktop
Edit a JSON config. Best for non-technical users.
Codex
One CLI command. For OpenAI Codex users.
How it works
The MCP server sits on top of the OnePerfectSlice REST API and exposes 9 tools designed for agent interaction. Key differences from calling the API directly:- Composite operations —
run_slicestarts a run, polls for up to 30 seconds, and fetches evidence on completion. One tool call, not three. - Flat parameters — no nested objects. Every filter is a top-level argument the agent can set directly.
- Guided errors — when something goes wrong, error messages tell the agent exactly which tool to call next.
Available tools
| Tool | What it does |
|---|---|
list_slices | Discover available analyses or get details for a specific slice |
preview_slice_count | Count matched calls before running (free, no AI cost) |
run_slice | Execute an analysis and get results + evidence |
get_run | Retrieve results from a past or in-progress run |
list_runs | Browse run history with optional filtering |
search_posts | Find summaries and scorecards matching your criteria |
get_post | Get a single post with full structured content |
search_evidence | Search evidence quotes across all completed runs |
get_filter_options | Discover valid filter values (call owners, companies, CRM data) |