profile-project
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PROFILE_PROJECT_CHROMADB__PATH | No | Path for ChromaDB storage | .profile_project/chroma |
| PROFILE_PROJECT_OPENAI_API_KEY | No | OpenAI API key (secret) | |
| PROFILE_PROJECT_PINECONE_API_KEY | No | Pinecone API key (secret) | |
| PROFILE_PROJECT_VECTORSTORE__BACKEND | No | Vectorstore backend (unset prompts for selection) | |
| PROFILE_PROJECT_DEFAULT_EMBEDDINGS_METHOD | No | Default embeddings method (unset prompts for selection) |
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 |
|---|---|
| pp_config_pathD | – |
| pp_config_showD | – |
| pp_config_getD | – |
| pp_config_setD | – |
| pp_config_validateD | – |
| pp_init_projectD | – |
| pp_init_runD | – |
| pp_next_phasesD | – |
| pp_start_phaseD | – |
| pp_complete_phaseD | – |
| pp_fail_phaseD | – |
| pp_retry_phaseD | – |
| pp_run_statusD | – |
| pp_list_runsD | – |
| pp_discover_sourcesD | – |
| pp_list_sourcesD | – |
| pp_get_sourceD | – |
| pp_add_sourceD | – |
| pp_store_artifactD | – |
| pp_load_artifactD | – |
| pp_list_artifactsD | – |
| pp_validate_artifactD | – |
| pp_index_buildD | Chunk -> embed -> upsert agent pages into the store (§9.3/§11). |
| pp_index_rebuildC | Full geometry-safe re-index (reset + rebuild, §10.4/§11). |
| pp_queryB | Embed query -> vector search -> ranked, attributed hits (§11). |
| pp_index_statusC | Store stats. In-handler read-only init guard (§11/§6b.3). Count-only by design: a status read reuses the warm memoized bundle when one exists, and on a cold process it never constructs the embedder (a full model load for sentence-transformers) — the count comes from a store-only client and the geometry metadata from the prior vectorstore-index artifact. |
| pp_vectorstore_checkA | Diagnose vectorstore reachability + dimension (read-only; never writes). This tool is inherently a dry-run diagnostic: it NEVER constructs the store client and NEVER writes to disk. It runs the §6.5 conflict matrix with two bounded, fail-closed live probes wired in:
|
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/goosefly99/profile-project-claude-plugin'
If you have feedback or need assistance with the MCP directory API, please join our Discord server