Content Interviewer MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_personal_contextA | Search imported conversations and notes for evidence of relevant personal experience. |
| save_content_ideaC | Save a structured content idea for later development. |
| update_content_statusC | Move a content idea through the allowed status workflow. |
| import_chat_historyA | Import one explicitly selected ChatGPT conversations.json export into the local private database. |
| add_articleA | Fetch, extract, and save one user-provided public article URL. Private and local network targets are rejected. |
| manage_sourceC | Add, list, enable, or disable RSS research sources. |
| refresh_sourcesA | Refresh enabled RSS sources and ingest unseen articles. Returns counts and article metadata, not article bodies. |
| list_topic_candidatesA | List recent unreviewed research articles for content-idea evaluation. Returns deterministic metadata and short excerpts. |
| save_interview_answerB | Save Ruslana's confirmed answer to one focused interview question for a content idea. |
| save_content_assetA | Save a versioned Reel script, LinkedIn draft, caption, or tutorial outline for a content idea. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| content-strategy | Strategy and behavioral rules for content creation. |
| brand-voice | Voice, tone, and claim-safety guidance. |
| content-pillars | Primary subjects for content idea development. |
TDQS
Scored across 10 tools
Each tool targets a distinct resource or workflow phase: personal context, content ideas, status updates, imports, articles, sources, topic candidates, interview answers, and assets. Even the three 'save' tools are clearly separated by noun and description.
All tool names follow a consistent verb_noun snake_case pattern, such as search_personal_context, refresh_sources, and save_content_asset. The naming conventions are uniform and predictable throughout the set.
Ten tools is well within the ideal range for a specialized content workflow. Each tool covers a meaningful operation without redundancy or bloat.
The set covers ingestion, ideation, status management, and asset creation well, but there are notable gaps: no list/get tool for saved content ideas, no retrieval of saved interview answers or content assets, and no way to view full article bodies. These omissions create potential dead ends in the workflow.