SeerrSense
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SeerrSenseFind the Nolan movie about dream heist and request it"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SeerrSense
Give Seerr some sense.
AI companion for Seerr — natural-language media discovery, resolution, and MCP automation.
SeerrSense is an intelligence and agent layer for Seerr.
Describe a movie or TV show in natural language, resolve it to verified canonical media, check its status, and request it through your existing Seerr stack.
"фильм Нолана про сон во сне"
↓
SeerrSense
↓
Inception (2010)
TMDB: verified
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Seerr
↓
Radarr / SonarrWhy SeerrSense?
Seerr already orchestrates your media stack.
SeerrSense adds the intelligence layer:
Natural-language movie and TV resolution
Verified canonical media IDs
MCP support for Claude, ChatGPT, and other agents
REST API
Works with your existing Seerr / Radarr / Sonarr stack
LLMs interpret intent, but never become the source of truth for provider IDs
Related MCP server: Overseerr MCP
Core principle
Natural-language query
↓
Native Seerr search
↓
Semantic fallback when needed
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LLM extracts MediaIntent
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Seerr / metadata provider verification
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Canonical media candidate
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User confirmation
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Seerr requestLLMs may infer titles, people, directors, genres, years, or plot hints.
They do not generate trusted TMDB or IMDb IDs.
Interfaces
SeerrSense exposes the same core capabilities through:
MCP
REST API
Current MCP tools:
search_mediaresolve_mediaget_mediarequest_media
Status
SeerrSense is under active development.
Current focus:
standalone deployment
semantic media resolver
Seerr-native orchestration
MCP integration
Quick Start
TBD
Configuration
TBD
MCP
TBD
REST API
TBD
Architecture
TBD
Security Model
TBD
Development
TBD
Deployment
TBD
Roadmap
TBD
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
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Maintenance
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