slop-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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| agnt_watch | Build shell command streaming agnt daemon events via |
| auth_mcpB | OAuth for MCP servers. Actions: login (start flow), logout (drop token), status (check), list (all authenticated). Returns text. |
| customize_toolsB | Override tool descriptions, define custom tools. Actions: set_override, remove_override, list_overrides, define_custom, remove_custom, list_custom, export, import. |
| execute_toolA | Execute tool on MCP server. Passes parameters through. Returns underlying MCP response as-is. |
| get_metadata | Metadata for connected MCPs. Compact by default (names+descriptions). verbose=true for full schemas. mcp_name+tool_name for single-tool schema. |
| manage_mcpsC | Manage MCP connections. Actions: register, unregister, reconnect, list, status, health_check, list_stale_overrides. Returns text. |
| run_slop | Execute SLOP script with access to all registered MCPs. Inline script or file path. Returns final expression value as text. Call MCP tools as mcp_name.tool_name(param: value). Example patterns: Chain results between tools: data = api.fetch(id: 42) summary = ai.summarize(text: data["content"]) emit(summary) Loop and collect: results = [] for id in [1, 2, 3]: results = results + [api.get(id: id)] emit(items: results, count: len(results)) Transform with builtins: repos = github.search(query: "mcp") names = map(repos, |r| r["name"]) emit(join(names, "\n")) Pipe for chaining transforms (left value becomes first arg): [1, 2, 3, 4, 5] | filter(|x| x > 2) | map(|x| x * 10) data | json_stringify() Session memory persists across run_slop calls (thread-safe): store_set("key", value) prev = store_get("key") Persistent memory survives restarts (disk-backed): mem_save("bank", "key", value, description: "what this stores") data = mem_load("bank", "key") entries = mem_list("bank") matches = mem_search("query") Use recipe parameter: recipe: "list" to see available templates, recipe: "" to load one. Use slop_reference to browse built-in functions (map, filter, reduce, json_parse, regex_match, etc.). |
| search_tools | Fuzzy search tools across connected MCPs. Ranked results. Paginated (default: 20, max: 100). Use offset for next page. Response includes total and has_more. |
| slop_helpC | Full details for SLOP function by name. Returns formatted text. |
| slop_referenceB | Search SLOP built-in functions. Compact output (name+signature) by default. verbose=true for full details. list_categories=true for category counts. |
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/standardbeagle/slop-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server