lynxprompt-mcp
This server is an MCP bridge that enables LLMs to browse, search, and manage AI configuration blueprints in a LynxPrompt instance.
Search Blueprints: Query the public blueprint marketplace with optional filters for tags, type (e.g.,
AGENTS_MD,CLAUDE_MD), and category.Create Blueprint: Create a new blueprint with a name, content, and type; optionally set visibility (
PRIVATE,TEAM, orPUBLIC) and a description.Update Blueprint: Modify an existing blueprint's name, content, visibility, or description by its ID.
Delete Blueprint: Permanently remove a blueprint by its ID.
Create Hierarchy: Establish a new repository-mapped organizational structure with a name and repository root path, plus an optional description.
Delete Hierarchy: Permanently remove a hierarchy by its ID.
Browse Resources (read-only): Access blueprints, hierarchies, and user info via MCP URIs —
lynxprompt://blueprints,lynxprompt://blueprint/{id},lynxprompt://hierarchies,lynxprompt://hierarchy/{id}, andlynxprompt://user.
What you get
Type | What for | MCP URI / Tool id |
Resources | Browse blueprints, hierarchies, and user info read-only |
|
Tools | Create, update, delete blueprints and manage hierarchies |
|
Everything is exposed over a single JSON-RPC endpoint (/mcp).
LLMs / Agents can: initialize -> readResource -> listTools -> callTool ... and so on.
Related MCP server: mcp-openapi-schema
Quick-start (Docker Compose)
services:
lynxprompt-mcp:
image: drumsergio/lynxprompt-mcp:latest
ports:
- "127.0.0.1:8080:8080"
environment:
- LYNXPROMPT_URL=https://lynxprompt.com
- LYNXPROMPT_TOKEN=lp_xxxSecurity note: The HTTP transport listens on
127.0.0.1:8080by default. If you need to expose it on a network, place it behind a reverse proxy with authentication.
Install via npm (stdio transport)
npx lynxprompt-mcpOr install globally:
npm install -g lynxprompt-mcp
lynxprompt-mcpThis downloads the pre-built Go binary from GitHub Releases for your platform and runs it with stdio transport. Requires at least one published release.
Local build
git clone https://github.com/GeiserX/lynxprompt-mcp
cd lynxprompt-mcp
# (optional) create .env from the sample
cp .env.example .env && $EDITOR .env
go run ./cmd/serverConfiguration
Variable | Default | Description |
|
| LynxPrompt instance URL (without trailing /) |
| (required) | API token in |
|
| HTTP listen address (Docker sets |
| (empty) | Bearer token for HTTP auth (required if LISTEN_ADDR is not loopback) |
| (empty = HTTP) | Set to |
Put them in a .env file (from .env.example) or set them in the environment.
Testing
Tested with Inspector and it is currently fully working. Before making a PR, make sure this MCP server behaves well via this medium.
Example configuration for client LLMs
{
"schema_version": "v1",
"name_for_human": "LynxPrompt-MCP",
"name_for_model": "lynxprompt_mcp",
"description_for_human": "Browse, search, and manage AI configuration blueprints from LynxPrompt.",
"description_for_model": "Interact with a LynxPrompt instance that stores AI configuration blueprints. First call initialize, then reuse the returned session id in header \"Mcp-Session-Id\" for every other call. Use readResource to fetch URIs that begin with lynxprompt://. Use listTools to discover available actions and callTool to execute them.",
"auth": { "type": "bearer", "token": "your-secret-token" },
"api": {
"type": "jsonrpc-mcp",
"url": "http://localhost:8080/mcp",
"init_method": "initialize",
"session_header": "Mcp-Session-Id"
},
"logo_url": "https://lynxprompt.com/logo.png",
"contact_email": "acsdesk@protonmail.com",
"legal_info_url": "https://github.com/GeiserX/lynxprompt-mcp/blob/main/LICENSE"
}Credits
LynxPrompt -- AI configuration blueprint management
MCP-GO -- modern MCP implementation
GoReleaser -- painless multi-arch releases
Maintainers
Contributing
Feel free to dive in! Open an issue or submit PRs.
LynxPrompt-MCP follows the Contributor Covenant Code of Conduct.
Other MCP Servers by GeiserX
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duplicacy-mcp — Backup health monitoring
genieacs-mcp — TR-069 device management
pumperly-mcp — Fuel and EV charging prices
telegram-archive-mcp — Telegram message archive
Related Projects
Project | Description |
Self-hosted platform for AI IDE/Tools Rules and Commands via WebUI and CLI | |
VS Code extension for LynxPrompt AI configuration file management | |
GitHub Action to sync and validate AI IDE configuration files with LynxPrompt | |
n8n community node for LynxPrompt AI configuration blueprints | |
Homebrew tap for LynxPrompt CLI |
Available Tools
6 toolscreate_blueprintCDestructive
Create a new blueprint in LynxPrompt
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | Blueprint content (the actual prompt/instructions text) | |
| description | No | Short description of the blueprint (optional) | |
| name | Yes | Name of the blueprint | |
| type | Yes | Blueprint type, e.g. AGENTS_MD, CLAUDE_MD | |
| visibility | No | Visibility: PRIVATE, TEAM, or PUBLIC (optional, defaults to PRIVATE) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, but the description does not elaborate on the nature of destruction or any side effects. The description adds no behavioral context beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, highly concise, but could benefit from slightly more detail without being verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 5 parameters and no output schema, the description lacks completeness: it omits the outcome of creation, potential side effects, and usage context beyond the schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All parameters have descriptions in the input schema (100% coverage), so the tool description does not add extra semantic meaning. Baseline score 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action 'create' and object 'blueprint' within the domain 'LynxPrompt', effectively distinguishing it from sibling tools like update_blueprint or delete_blueprint.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives (e.g., update_blueprint) or any prerequisites for its use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_hierarchyCDestructive
Create a new hierarchy in LynxPrompt
| Name | Required | Description | Default |
|---|---|---|---|
| description | No | Short description of the hierarchy (optional) | |
| name | Yes | Name of the hierarchy | |
| repository_root | Yes | Root path of the repository this hierarchy maps to |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate this is a non-read-only, destructive, non-idempotent mutation with side effects. The description adds no additional behavioral context such as auth requirements, return behavior, or failure consequences.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence, which is concise but lacks structure. It is front-loaded but too brief to convey necessary information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a creation tool with no output schema, the description is insufficient. It does not explain what a hierarchy is, the outcome of creation, or potential side effects beyond what annotations imply.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema has 100% description coverage for all 3 parameters, so baseline is 3. The description itself does not add any extra meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Create a new hierarchy in LynxPrompt', which is a specific verb+resource. However, it does not distinguish from the sibling 'create_blueprint', nor does it explain what a hierarchy is.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like 'create_blueprint' or 'update_blueprint'. No prerequisites or context are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete_blueprintBDestructive
Delete a blueprint from LynxPrompt
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ID of the blueprint to delete |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description aligns with the destructiveHint annotation, but adds no additional behavioral context such as irreversibility or side effects. With annotations covering the destructive nature, the minimal description is acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that efficiently conveys the action. For a simple tool, this is appropriately concise without unnecessary detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple parameter set and presence of annotations, the description is adequate but lacks context about error handling or permanence. It is minimally sufficient for the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% with one parameter having a clear description. The tool description adds no extra meaning beyond the schema, so a baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action 'Delete' and the resource 'blueprint', making the purpose obvious. It distinguishes this tool from sibling tools like create_blueprint, update_blueprint, and search_blueprints which have different operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, consequences, or recommended contexts for deletion.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete_hierarchyBDestructive
Delete a hierarchy from LynxPrompt
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ID of the hierarchy to delete |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already confirm destructive nature (destructiveHint=true) and non-read-only (readOnlyHint=false). The description adds no additional behavioral context, such as cascading effects, reversibility, or required permissions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, using one short sentence with no filler. However, it could be slightly more informative without losing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple delete operation with one parameter and no output schema, the description is adequate but lacks details on what happens if the hierarchy has child elements or if the operation is reversible. More context would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with one parameter 'id' described as 'ID of the hierarchy to delete'. The description does not add meaning beyond what the schema already provides, meeting the baseline score of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Delete' and the resource 'hierarchy from LynxPrompt'. It distinguishes this tool from sibling tools like create_hierarchy and delete_blueprint by specifying the exact action and resource.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., when to delete a hierarchy vs a blueprint). No prerequisites, exclusions, or context about the operation's appropriateness.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_blueprintsBDestructive
Search the public LynxPrompt blueprint marketplace
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | Filter by category (optional) | |
| query | Yes | Search query string | |
| tags | No | Comma-separated tags to filter by (optional) | |
| type | No | Filter by type, e.g. AGENTS_MD, CLAUDE_MD (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description claims a search operation, but annotations include destructiveHint: true, contradicting the non-destructive nature of a search. The description fails to explain any behavioral traits, and the contradiction severely undermines transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that conveys the core purpose with no unnecessary words or information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 4 parameters and no output schema, the description should provide more context about the return format, pagination, or behavior. The minimal description leaves agents uninformed about results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage for all 4 parameters, so the schema already documents their meanings. The description adds no additional semantic value beyond what is in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Search the public LynxPrompt blueprint marketplace' clearly states the verb 'search' and the specific resource 'public LynxPrompt blueprint marketplace'. It effectively distinguishes this tool from its siblings which are CRUD operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives or when not to use it. The description simply states its function without any context about prerequisites, limitations, or comparisons to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_blueprintCDestructive
Update an existing blueprint in LynxPrompt
| Name | Required | Description | Default |
|---|---|---|---|
| content | No | New content for the blueprint (optional) | |
| description | No | New description for the blueprint (optional) | |
| id | Yes | ID of the blueprint to update | |
| name | No | New name for the blueprint (optional) | |
| visibility | No | New visibility: PRIVATE, TEAM, or PUBLIC (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate destructiveHint=true and readOnlyHint=false. The description adds no extra behavioral context (e.g., idempotency, side effects, rate limits).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence. It is front-loaded with the key action and resource, but could be more informative without being verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple update tool with good schema and annotations, the description provides minimal context. It does not explain behavior for optional fields or error scenarios. No output schema exists, so return value expectations are absent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so parameters are well-described in the schema. The description adds no extra meaning beyond what is already in the input schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action 'Update' and the resource 'blueprint'. It is unambiguous but lacks differentiation from related tools like create_blueprint or delete_blueprint.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., create, delete). No mention of prerequisites or context for the update operation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
6 tool updates
v0.1.0- First observed
create_blueprint - First observed
create_hierarchy - First observed
delete_blueprint - First observed
delete_hierarchy - First observed
search_blueprints - First observed
update_blueprint
TDQS
Scored across 6 tools
Every tool targets a distinct action on either blueprints or hierarchies, with no overlap in purpose. The operations are clearly separated by resource type.
All tool names follow the verb_noun pattern using snake_case consistently. The pattern is predictable across all six tools.
Six tools is well-scoped for managing two resources (blueprints and hierarchies). Each tool serves a clear purpose without unnecessary duplication.
Blueprints have create, delete, update, and search, but no individual get/read tool. Hierarchies have create and delete but lack update and search. These are notable gaps that could cause agent failures.
Maintenance
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