MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Teaches the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk evaluation, and replanning.
Install Agent Reasoning MCP
$ npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install putervision/state-memory-mcp agent-reasoning-mcp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-reasoning-mcp .claude/skills/agent-reasoning-mcp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-reasoning-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/agent-reasoning-mcp into .claude/skills/agent-reasoning-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-reasoning-mcp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/agent-reasoning-mcpType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install putervision/state-memory-mcp agent-reasoning-mcp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-reasoning-mcp .agents/skills/agent-reasoning-mcp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-reasoning-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/agent-reasoning-mcp into .agents/skills/agent-reasoning-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-reasoning-mcp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install putervision/state-memory-mcp agent-reasoning-mcp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-reasoning-mcp .cursor/skills/agent-reasoning-mcp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-reasoning-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/agent-reasoning-mcp into .cursor/skills/agent-reasoning-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-reasoning-mcp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/putervision/state-memory-mcp.git --path .agents/skills/agent-reasoning-mcp--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install putervision/state-memory-mcp agent-reasoning-mcp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-reasoning-mcp .gemini/skills/agent-reasoning-mcp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-reasoning-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/agent-reasoning-mcp into .gemini/skills/agent-reasoning-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-reasoning-mcp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install putervision/state-memory-mcp agent-reasoning-mcpInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-reasoning-mcp .github/skills/agent-reasoning-mcp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-reasoning-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/agent-reasoning-mcp into .github/skills/agent-reasoning-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-reasoning-mcp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install putervision/state-memory-mcp agent-reasoning-mcp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-reasoning-mcp .opencode/skills/agent-reasoning-mcp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-reasoning-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/agent-reasoning-mcp into .opencode/skills/agent-reasoning-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-reasoning-mcp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
agent-reasoning-mcp- GitHub stars
- 111
- Token cost
- ~889 tokens
- SKILL.md length
- 336 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
Teaches the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk evaluation, and replanning.
- Works in 3 steps: Role in the PuterVision Pentad → Core Operational Sequence → Complete 10 Consolidated MCP Tools…
- Tasks that involve MCP servers
- SKILL.md covers 1. Role in the PuterVision…, 2. Core Operational Sequence and 3. Complete 10 Consolidated…
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Agent Reasoning MCP is an agent skill from putervision/state-memory-mcp. Teaches the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk evaluation, and replanning.
Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and… The licence is MIT.
When your agent uses it
- Tasks that involve MCP servers
Example prompts
- “Use the agent-reasoning-mcp skill to teach the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk…”
- “/agent-reasoning-mcp”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 0f60ae4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agent Reasoning MCP loads about 889 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 336 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from putervision/state-memory-mcp at commit 0f60ae4, republished under its MIT licence (© putervision). 336 words, ~889 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-reasoning-mcp/SKILL.md (or your agent's skills folder).- name
- agent-reasoning-mcp
- description
- Teaches the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk evaluation, and replanning.
Strategic Agent Reasoning (agent-reasoning-mcp)
This skill provides step-by-step guidance and operational patterns for interacting with @putervision/agent-reasoning-mcp with project slug "state-memory-mcp".
1. Role in the PuterVision Pentad
- Workflow State (
state-memory-mcp): Persistent task DAGs, decisions, milestones, and blockers. - Perception (
vision-memory-mcp): Visual layout caching, screenshots, and visual specifications. - Spatial World (
world-model-mcp): Persistent 3D/2D coordinates, bounding boxes, and topological relations. - Strategic Reasoning (
agent-reasoning-mcp): BDI goal decomposition, multi-attribute expected utility calculation, belief decay, risk assessment, and replanning. - Tactical Execution (
behavior-mcp): Deterministic ~60Hz browser behavior tree execution and reactive preemption.
2. Core Operational Sequence
- Initialize Objectives: Call
set_goalwithaction: "create"to define top-level goals andaction: "decompose"to establish subgoals. - Configure Utility Profile: Tune agent priorities using
set_utility_weights(aggression, caution, greed, exploration). - Situational Trade-off Scoring: Call
evaluate_situationwithaction: "snapshot"to rank candidate actions using Pareto utility theory. - Intention Dispatch: Translate chosen action into an execution directive via
manage_intentions. - Reactive Replanning: If an unexpected obstacle or blocker emerges, invoke
replan.
3. Complete 10 Consolidated MCP Tools Reference
| Tool Name | Key Actions | Key Parameters | Description |
|---|---|---|---|
set_goal | create, update, get, list, decompose, archive | title, description, priority, parent_id, subgoals | Hierarchical BDI goal management and task DAG decomposition. |
evaluate_situation | snapshot, quick | snapshot, candidates, utility_profile | Multi-attribute utility evaluation ranking candidate actions from environment state. |
replan | blocker, recovery, alternative | goal_id, blocker_description, strategy | Adaptive DAG reconstruction and alternative path discovery upon obstacles. |
assess_risk | assess, matrix | hazards, tolerance, mitigations | Quantitative threat matrix and probabilistic risk scoring. |
query_knowledge | search, lookup, heuristics | query, category, tags | Knowledge retrieval of past decision heuristics and domain heuristics. |
set_utility_weights | configure, get, list, profile | name, weights (aggression, caution, greed, exploration) | Utility weight tuning and personality profile management. |
get_decision_trace | get, list, explain | trace_id, limit | Explainable chain-of-thought rationale playback and auditing. |
manage_beliefs | set, get, decay, list | key, value, confidence, decay_rate | Structured belief state with temporal exponential confidence decay. |
manage_intentions | create, get, list, dispatch, cancel | goal_id, behavior_name, parameters | Execution directives queue connecting strategic plans to runtime engines. |
manage_reasoning_db | stats, audit, snapshot, restore, prune | action, name, description | Database diagnostics, snapshots, and SHA-256 Merkle audit verification. |
© putervision, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/agent-reasoning-mcp of putervision/state-memory-mcp.
Open the folder on GitHubat commit 0f60ae4
Compare with similar skills
Agent Reasoning MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Reasoning MCP this skillputervision/state-memory-mcp | 111 | — | ~889 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Fastmcp Client CLIPrefectHQ/fastmcp | 28k | 1 repos | ~823 | Automated safety check: Pass | Apache-2.0 | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence |
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Related
Works with
Categories
Questions about Agent Reasoning MCP
What does Agent Reasoning MCP do?
Teaches the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk evaluation, and replanning. Agent Reasoning MCP is an agent skill from putervision/state-memory-mcp. Teaches the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk evaluation, and replanning.
When should I use Agent Reasoning MCP?
Agent Reasoning MCP fits situations like: tasks that involve MCP servers.
How do I install Agent Reasoning MCP in Claude Code?
Run `npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a claude-code`. Or copy the skill folder (.agents/skills/agent-reasoning-mcp in putervision/state-memory-mcp) into .claude/skills/agent-reasoning-mcp in your project. Claude Code loads it when a task matches its description.
How do I install Agent Reasoning MCP in Codex?
Run `npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a codex`. Or copy the skill folder (.agents/skills/agent-reasoning-mcp in putervision/state-memory-mcp) into .agents/skills/agent-reasoning-mcp in your project. Codex loads it when a task matches its description.
Can I use Agent Reasoning MCP in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add putervision/state-memory-mcp --skill agent-reasoning-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-reasoning-mcp, .gemini/skills/agent-reasoning-mcp, .github/skills/agent-reasoning-mcp and .opencode/skills/agent-reasoning-mcp in your project.
What does Agent Reasoning MCP need to run?
SKILL.md names no scripts, command-line tools or credentials: Agent Reasoning MCP is instructions for the agent only.
Does Agent Reasoning MCP access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Agent Reasoning MCP safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Agent Reasoning MCP use?
Agent Reasoning MCP is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Reasoning MCP use?
About 889 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agent Reasoning MCP?
Skills that share tags, products or a category with Agent Reasoning MCP: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Reasoning MCP?
putervision (a GitHub organization) maintains it in putervision/state-memory-mcp, which has 111 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 3, 2026.
Source: putervision/state-memory-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.