Task Context MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TASK_CONTEXT_MCP__DATA_DIR | No | Data directory path | ./data |
| TASK_CONTEXT_MCP__DATABASE_URL | No | Database URL | sqlite:///./data/task_context.db |
| TASK_CONTEXT_MCP__LOGGING_LEVEL | No | Logging level | INFO |
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": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_active_task_contextsA | Start here for every task. Lists active task contexts (reusable task TYPES, not task instances). Next steps:
|
| create_task_contextA | Create a new task context (task type) when no match exists. Use for categories (e.g., "CV analysis for Python dev"), not specific instances. Constraints:
Next step: create initial guidance with create_artifact() before doing task work. |
| get_artifacts_for_task_contextA | Load artifacts for a task context. Call this after you select or create a task context and before doing work. Re-call when you start a new phase or need to confirm guidance. Notes:
|
| create_artifactA | Create a new artifact to capture reusable guidance. Create immediately when you discover a pattern, constraint, mistake, or useful template. If similar guidance might already exist, call search_artifacts() first; prefer update_artifact() over near-duplicates. Constraints:
Types: practice (guidelines), rule (constraints), prompt (templates), result (generalizable learnings). |
| update_artifactA | Update an artifact when existing guidance is incomplete, wrong, or needs refinement. Use immediately when you learn something better or user feedback indicates a correction. Prefer updating over creating duplicates. Constraints:
Provide summary and/or content. |
| archive_artifactA | Archive an artifact that is incorrect, misleading, or outdated. Prefer creating a replacement first, then archive the old artifact. Provide a reason when possible. |
| search_artifactsA | Full-text search across artifacts. Use this before creating new artifacts to avoid duplicates. Returns results ranked by relevance. |
| reflect_and_update_artifactsA | Reflection checkpoint. Call before declaring a task complete, and after corrections or user feedback. This returns the current artifacts and prompts you to create/update/archive as needed. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose: create, update, archive, search artifacts; manage task contexts; and reflection. No overlap in functionality.
All tools follow a consistent verb_noun snake_case pattern (e.g., create_artifact, get_active_task_contexts). No mixing of conventions.
With 8 tools covering artifact lifecycle and task context management, the count is well-scoped for the server's purpose. Each tool earns its place without excess or deficiency.
The tool surface covers creation, retrieval, update, archive, search, and reflection for artifacts, plus task context creation and retrieval. Minor gaps exist, such as no explicit update or delete for task contexts, but the workflow is mostly complete.