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@ketema ketema commented Oct 3, 2025

Problem

Some MCP clients may serialize numeric parameters as strings in JSON payloads, causing validation errors with the current strict type checking.

Error Message:

{
  "error": "Invalid thoughtNumber: must be a number",
  "status": "failed"
}

Root Cause: The validateThoughtData() method performs strict type checking (typeof data.thoughtNumber !== 'number'), which fails when clients pass "1" (string) instead of 1 (number).

Solution

Add input sanitization to coerce valid numeric strings to numbers before validation, while maintaining type safety.

Changes

  • Added sanitizeNumericParam() private helper method
  • Sanitizes thoughtNumber, totalThoughts, revisesThought, branchFromThought
  • Coerces valid numeric strings (e.g., "1") to numbers (e.g., 1)
  • Preserves original validation logic after sanitization
  • Returns invalid values as-is for clear error messages

Testing

  • Handles number inputs: 11 (pass through)
  • Handles string inputs: "1"1 (coerce)
  • Handles invalid inputs: "abc""abc" (validation fails with clear error)

Impact

  • ✅ Improves client compatibility
  • ✅ Maintains type safety
  • ✅ No breaking changes
  • ✅ Clear error messages preserved

Example

Before:

// Client sends: { thoughtNumber: "1", ... }
// Result: Error: Invalid thoughtNumber: must be a number

After:

// Client sends: { thoughtNumber: "1", ... }
// Sanitized to: { thoughtNumber: 1, ... }
// Result: Success

Testing Evidence

Tested with Augment.AI MCP client:

  • ✅ Accepts thoughtNumber: 1 (number)
  • ✅ Accepts thoughtNumber: "1" (string, coerced to number)
  • ✅ Rejects thoughtNumber: "abc" (invalid, clear error)
  • ✅ Thought history maintained correctly
  • ✅ No regressions observed

Additional Context

This fix addresses non-deterministic validation errors observed with MCP clients that use LLM-generated tool calls, where numeric parameters may be serialized as strings depending on the LLM's output format.

The sanitization approach:

  1. Checks if value is already a number → pass through
  2. Checks if value is a valid numeric string → parse and return number
  3. Otherwise → return as-is, let validation fail with clear error

This maintains the original validation behavior while improving compatibility with clients that serialize numbers as strings.

WHY: Some MCP clients may pass numeric parameters as strings
     Strict type checking causes validation errors with 'Invalid thoughtNumber'

EXPECTED: Sanitize valid numeric strings to numbers before validation
          Maintains type safety while improving client compatibility

CHANGES:
- Added sanitizeNumericParam() private helper method
- Sanitizes thoughtNumber, totalThoughts, revisesThought, branchFromThought
- Coerces valid numeric strings (e.g., '1') to numbers (e.g., 1)
- Preserves original validation logic after sanitization
- Returns invalid values as-is for clear error messages

TESTING:
- Handles number inputs: 1 → 1 (pass through)
- Handles string inputs: '1' → 1 (coerce)
- Handles invalid inputs: 'abc' → 'abc' (validation fails with clear error)

Fixes: Non-deterministic validation errors with MCP clients that serialize
       numeric parameters as strings in JSON payloads
@Copilot Copilot AI review requested due to automatic review settings October 3, 2025 09:52
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Pull Request Overview

This PR improves client compatibility for the sequential-thinking MCP server by adding input sanitization for numeric parameters. The change addresses validation errors that occur when MCP clients serialize numeric values as strings in JSON payloads.

Key changes:

  • Added sanitizeNumericParam() helper method to coerce valid numeric strings to numbers
  • Updated validateThoughtData() to sanitize numeric parameters before validation
  • Maintained existing validation logic and error handling

Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.

WHY: Copilot review identified inconsistency between regex and validation
     Regex /^\d+$/ allowed '0' to match, but parsed > 0 rejected it

EXPECTED: Regex explicitly excludes zero to match semantic intent
          Thought numbers are 1-indexed (1, 2, 3, ...), zero is invalid

CHANGES:
- Updated regex from /^\d+$/ to /^[1-9]\d*$/
- Added comments explaining thought numbers are 1-indexed
- Regex now matches: 1, 2, 3, ... (excludes 0)
- Maintains parsed > 0 check (now consistent with regex)

COPILOT FEEDBACK ADDRESSED:
1. ✅ Regex inconsistency with zero - FIXED
2. ❌ Negative/decimal suggestion - Not applicable
   - Thought numbers are semantic indices (1st, 2nd, 3rd thought)
   - Decimals (1.5) and negatives (-1) don't make sense
   - Current regex already prevents negatives (no minus sign)

TESTING:
- Accepts: '1' → 1, '2' → 2, '999' → 999
- Rejects: '0' (fails regex), '-1' (fails regex), '1.5' (fails regex)

Refs: PR modelcontextprotocol#2812 Copilot review
@ketema
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ketema commented Oct 3, 2025

Thanks for the review, @Copilot!

Addressing your feedback:

✅ Comment 1: Regex inconsistency with zero - FIXED

You're absolutely right about the inconsistency. The regex /^\d+$/ allowed '0' to match, but the parsed > 0 condition rejected it.

Fix applied: Updated regex to /^[1-9]\d*$/ to explicitly exclude zero.

Rationale: Thought numbers are semantic indices representing "which thought in the sequence" (1st, 2nd, 3rd, etc.). Zero doesn't make sense in this context - thoughts are 1-indexed, not 0-indexed.

❌ Comment 2: Negative numbers and decimals - Not applicable

The suggestion to handle negative numbers and decimals doesn't apply here because:

  1. Semantic context: These parameters represent thought indices (thoughtNumber, totalThoughts, etc.), not arbitrary numeric values
  2. Negative numbers: Already prevented by the regex (no minus sign in pattern)
  3. Decimals: Don't make sense for "which thought number" (can't have the 1.5th thought)

The function name sanitizeNumericParam is accurate - it sanitizes numeric parameters that should be positive integers starting from 1.


Updated behavior:

  • ✅ Accepts: '1'1, '2'2, '999'999
  • ❌ Rejects: '0' (fails regex), '-1' (fails regex), '1.5' (fails regex)

The fix maintains type safety while being explicit about the valid range for thought indices.

@olaservo olaservo added server-sequentialthinking Reference implementation for the Sequential Thinking MCP server - src/sequentialthinking bug Something isn't working labels Oct 8, 2025
ketema added 2 commits October 7, 2025 23:16
WHY:
- MCP SDK validates against tool schema BEFORE calling handler
- Schema defined thoughtNumber/totalThoughts/etc as type: 'integer'
- String values like '1' failed schema validation before reaching sanitizeNumericParam()
- Input sanitization code was correct but never executed

EXPECTED:
- Schema now accepts both integers and strings for numeric parameters
- MCP SDK allows strings to pass schema validation
- sanitizeNumericParam() can coerce strings to numbers
- Tool works with both thoughtNumber: 1 and thoughtNumber: '1'

CHANGES:
- Updated thoughtNumber schema: oneOf [integer, string with pattern]
- Updated totalThoughts schema: oneOf [integer, string with pattern]
- Updated revisesThought schema: oneOf [integer, string with pattern]
- Updated branchFromThought schema: oneOf [integer, string with pattern]
- Pattern: ^[1-9]\d*$ (matches positive integers, excludes zero)

SCHEMA STRUCTURE:
oneOf: [
  { type: 'integer', minimum: 1 },
  { type: 'string', pattern: '^[1-9]\d*$' }
]

This allows MCP SDK to accept either:
- Integer: 1, 2, 3, ...
- String: '1', '2', '3', ...

Both are then sanitized by sanitizeNumericParam() before validation.

IMPACT:
- Completes the input sanitization fix
- Schema + sanitization + validation now work together
- MCP clients can pass numeric parameters as strings or numbers
- No more 'Invalid thoughtNumber: must be a number' errors for valid string numbers

Refs: Schema validation happens before handler execution in MCP SDK
…ee-layer defense strategy

WHY:
- Complete fix requires understanding of BOTH schema update AND input sanitization
- Schema oneOf prevents overly strict client-side validation from blocking LLM mistakes
- Input sanitization provides server-side defense and type coercion
- Together they ensure tool availability while maintaining correctness

EXPECTED:
- Clear documentation of root cause (client-side schema validation + missing sanitization)
- Explanation of three-layer defense: permissive schema, sanitization, strict validation
- Real-world scenarios showing why both fixes are required
- Design philosophy: liberal in acceptance, strict in production

Refs: MCP specification - clients SHOULD validate, servers MUST validate
@ketema ketema force-pushed the fix/input-sanitization-sequential-thinking branch from 28311c0 to ca00790 Compare October 8, 2025 09:05
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I think we don't plan to accept this change - this seems like a model bug that it is passing through the wrong shaped parameters. If we do want to correct this for poorly performing models, the place to do that would probably be the client anyways where it can be implemented once rather than server side.

@ketema
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ketema commented Oct 10, 2025 via email

@olaservo
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I don’t have access to the clients and have noticed this issue in both
Copilot, Augment, and Gemini. I felt this was simple fix for any client.

@ketema out of curiosity, what models are you using when this happens?

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Agree with Adam that not sure if forcing the values is the right thing to do here. I did have another question though about what models you're using when this happens.

@@ -0,0 +1,19 @@
# Local NPM configuration for Sequential Thinking MCP Server
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Was this intentionally checked in?

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removed.

@@ -0,0 +1,221 @@
# Sequential Thinking MCP Server - Schema Fix Explanation
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Was this intentionally checked in?

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yes the explanation was included on purpose. If you do not wish it or if it violates a standard let me know and I will remove it.

@ketema
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ketema commented Oct 13, 2025 via email

@ketema
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ketema commented Oct 13, 2025 via email

WHY:
- .npmrc is local development configuration and should not be in repository
- File was accidentally included in PR modelcontextprotocol#2812

EXPECTED:
- .npmrc remains in working directory for local use
- .npmrc not tracked in git history
- PR updated without .npmrc

Refs: modelcontextprotocol#2812
@ketema ketema force-pushed the fix/input-sanitization-sequential-thinking branch from dd43010 to 28f8ec7 Compare October 13, 2025 14:19
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