MCP Chaining

What it does

When your agent uses it

• Tasks that involve MCP servers
• Tasks that involve Error handling

Example prompts

• “/mcp-chaining”

Requirements

• Python 3
• Pre-approved tools (allowed-tools): Bash, Read

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Copy the pattern from scripts/research_implement_pipeline.py
2. 2Define your steps as async functions
3. 3Use check_tool_available() for graceful degradation
4. 4Chain results through PipelineContext
5. 5Aggregate with print_summary()

What it can do on your machine

Read from SKILL.md and the folder at commit d07ff4b. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Bash
  • Read

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • uv
  • git

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use uv and git, which can reach the network depending on how they are called.

  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

MCP Chaining loads about 1.3k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 221 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~23

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

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

• NoteMentions a .env fileSKILL.md:62

  This ensures API keys from `~/.claude/.env` reach subprocesses.

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Bash, Read

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 parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 221 words, ~1,277 tokens.

name

mcp-chaining

description

Research-to-implement pipeline chaining 5 MCP tools with graceful degradation

allowed-tools

Bash, Read

user-invocable

false

# Dry-run pipeline (preview plan without changes)
uv run python -m runtime.harness scripts/research_implement_pipeline.py \
    --topic "async error handling python" \
    --target-dir "./workspace/pipeline-test" \
    --dry-run --verbose

# Run tests
uv run python -m runtime.harness scripts/test_research_pipeline.py --test all

# View the pipeline script
cat scripts/research_implement_pipeline.py

# In _connect_stdio method:
full_env = {**os.environ, **(resolved_env or {})}

async def check_tool_available(tool_id: str) -> bool:
    """Check if an MCP tool is available."""
    server_name = tool_id.split("__")[0]
    server_config = manager._config.get_server(server_name)
    if not server_config or server_config.disabled:
        return False
    return True

# In step function:
if not await check_tool_available("nia__search"):
    return StepResult(status=StepStatus.SKIPPED, message="Nia not available")

nia__search              - Universal documentation search
nia__nia_research        - Research with sources
nia__nia_grep            - Grep-style doc search
nia__nia_explore         - Explore package structure

ast-grep__find_code      - Find code by AST pattern
ast-grep__find_code_by_rule - Find by YAML rule
ast-grep__scan_code      - Scan with multiple patterns

morph__warpgrep_codebase_search  - 20x faster grep
morph__edit_file                 - Smart file editing

qlty__qlty_check         - Run quality checks
qlty__qlty_fmt           - Auto-format code
qlty__qlty_metrics       - Get code metrics
qlty__smells             - Detect code smells

git__git_status          - Get repo status
git__git_diff            - Show differences
git__git_log             - View commit history
git__git_add             - Stage files

                    +----------------+
                    |   CLI Args     |
                    | (topic, dir)   |
                    +-------+--------+
                            |
                    +-------v--------+
                    | PipelineContext|
                    | (shared state) |
                    +-------+--------+
                            |
    +-------+-------+-------+-------+-------+
    |       |       |       |       |       |
+---v---+---v---+---v---+---v---+---v---+
| nia   |ast-grp| morph | qlty  | git   |
|search |pattern|search |check  |status |
+---+---+---+---+---+---+---+---+---+---+
    |       |       |       |       |
    +-------v-------v-------v-------+
                    |
            +-------v--------+
            | StepResult[]   |
            | (aggregated)   |
            +----------------+

try:
    result = await call_mcp_tool("nia__search", {"query": topic})
    return StepResult(status=StepStatus.SUCCESS, data=result)
except Exception as e:
    ctx.errors.append(f"nia: {e}")
    return StepResult(status=StepStatus.FAILED, error=str(e))

© parcadei, 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 .claude/skills/mcp-chaining of parcadei/Continuous-Claude-v3.

Open the folder on GitHubat commit d07ff4b

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.

• vibeeval/vibecosystemskills/mcp-chaining