HAL (HTTP API Layer) - An MCP server that provides HTTP API capabilities to Large Language Models with OpenAPI/Swagger integration
Hal mcp server lets Claude, Cursor and other MCP clients work with HAL directly. HAL (HTTP API Layer) - An MCP server that provides HTTP API capabilities to Large Language Models with OpenAPI/Swagger integration.
HAL is a Model Context Protocol (MCP) server that provides HTTP API capabilities to Large Language Models. It allows LLMs to make HTTP requests and interact with web APIs through a secure, controlled interface. HAL can also automatically generate tools from OpenAPI/Swagger specifications for seamless API integration.
Once connected, the assistant can call these 6 tools directly:
url — https://api.example.com/v1name — idExamples — The Examples tool exposed by this serverPrerequisites — The Prerequisites tool exposed by this serverSetup — The Setup tool exposed by this serverScripts — The Scripts tool exposed by this serverThe server is distributed via npm as will, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 8 environment variables: HAL_SWAGGER_FILE, HAL_API_BASE_URL, HAL_SECRET_API_KEY, HAL_SECRET_USERNAME, HAL_SECRET_PASSWORD, HAL_SECRET_TOKEN, HAL_SECRET_MICROSOFT_API_KEY, STORAGE_ACCESS_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
Knowledge and memory servers address the most frustrating trait of language models — walking into every conversation with no recollection of the last one. HAL sits in that group, and the shape of its toolset — url, name, Examples among others — tells you what it is really for. Worth comparing against the other knowledge memory servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| url | https://api.example.com/v1 |
| name | id |
| Examples | The Examples tool exposed by this server. |
| Prerequisites | The Prerequisites tool exposed by this server. |
| Setup | The Setup tool exposed by this server. |
| Scripts | The Scripts tool exposed by this server. |
{
"mcpServers": {
"hal": {
"command": "npx",
"args": ["hal-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| HAL_SWAGGER_FILE | Configuration value read at startup. | Optional |
| HAL_API_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| HAL_SECRET_API_KEY | Credential the server authenticates with. | Yes |
| HAL_SECRET_USERNAME | Credential the server authenticates with. | Yes |
| HAL_SECRET_PASSWORD | Credential the server authenticates with. | Yes |
| HAL_SECRET_TOKEN | Credential the server authenticates with. | Yes |
| HAL_SECRET_MICROSOFT_API_KEY | Credential the server authenticates with. | Yes |
| STORAGE_ACCESS_KEY | Credential the server authenticates with. | Yes |
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Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.